diff --git a/README.md b/README.md index d84d059a..393644d9 100644 --- a/README.md +++ b/README.md @@ -1,47 +1,12 @@ # arxiv-daily - 自动更新 @ 2023-10-22 16:07:15 Asia/Shanghai - -## Group Recommendation - -### Group -|Publish Date|Title|Author|PDF|Code| -| :---: | :---: | :---: | :---: | :---: | -|**2023-10-18 12:06:54**|**SHA-SCP: A UI Element Spatial Hierarchy Aware Smartphone User Click Behavior Prediction Method**|Ling Chen et.al.|[2310.11915v1](http://arxiv.org/abs/2310.11915v1)|null| -|**2023-10-17 13:39:26**|**Emulating Human Cognitive Processes for Expert-Level Medical Question-Answering with Large Language Models**|Khushboo Verma et.al.|[2310.11266v1](http://arxiv.org/abs/2310.11266v1)|null| -|**2023-10-17 07:02:26**|**Lyricist-Singer Entropy Affects Lyric-Lyricist Classification Performance**|Mitsuki Morita et.al.|[2310.11035v1](http://arxiv.org/abs/2310.11035v1)|null| -|**2023-10-15 13:18:31**|**VFLAIR: A Research Library and Benchmark for Vertical Federated Learning**|Tianyuan Zou et.al.|[2310.09827v1](http://arxiv.org/abs/2310.09827v1)|[link](https://github.com/flair-thu/vflair)| -|**2023-10-12 16:15:30**|**Metrics for popularity bias in dynamic recommender systems**|Valentijn Braun et.al.|[2310.08455v1](http://arxiv.org/abs/2310.08455v1)|null| -|**2023-10-10 16:23:41**|**Comparing AI Algorithms for Optimizing Elliptic Curve Cryptography Parameters in Third-Party E-Commerce Integrations: A Pre-Quantum Era Analysis**|Felipe Tellez et.al.|[2310.06752v1](http://arxiv.org/abs/2310.06752v1)|[link](https://github.com/cftellezc/GA_PSO_ECC_parameter_Optimization)| -|**2023-10-04 21:43:30**|**Sensitivity analysis for causality in observational studies for regulatory science**|Iván Díaz et.al.|[2310.03176v2](http://arxiv.org/abs/2310.03176v2)|null| -|**2023-10-04 21:42:01**|**Test Case Recommendations with Distributed Representation of Code Syntactic Features**|Mosab Rezaei et.al.|[2310.03174v1](http://arxiv.org/abs/2310.03174v1)|[link](https://github.com/mosabrezaei/test-case-recommendation)| -|**2023-10-04 16:54:03**|**Potential Factors Leading to Popularity Unfairness in Recommender Systems: A User-Centered Analysis**|Masoud Mansoury et.al.|[2310.02961v1](http://arxiv.org/abs/2310.02961v1)|null| -|**2023-10-04 08:35:54**|**Affirmative Action in India: Restricted Strategy Space, Complex Constraints, and Direct Mechanism Design**|Orhan Aygün et.al.|[2310.02660v1](http://arxiv.org/abs/2310.02660v1)|null| -|**2023-10-04 01:40:03**|**Who Audits the Auditors? Recommendations from a field scan of the algorithmic auditing ecosystem**|Sasha Costanza-Chock et.al.|[2310.02521v1](http://arxiv.org/abs/2310.02521v1)|null| -|**2023-10-03 18:35:08**|**Descriptive Discriminant Analysis of Multivariate Repeated Measures Data: A Use Case**|Ricarda Graf et.al.|[2310.02359v1](http://arxiv.org/abs/2310.02359v1)|null| -|**2023-10-02 21:18:57**|**Strategic Information Attacks on Incentive-Compatible Navigational Recommendations in Intelligent Transportation Systems**|Ya-Ting Yang et.al.|[2310.01646v1](http://arxiv.org/abs/2310.01646v1)|null| -|**2023-09-29 17:26:44**|**Networked Inequality: Preferential Attachment Bias in Graph Neural Network Link Prediction**|Arjun Subramonian et.al.|[2309.17417v1](http://arxiv.org/abs/2309.17417v1)|[link](https://github.com/arjunsubramonian/link_bias_amplification)| -|**2023-09-28 10:29:51**|**Multi-Granularity Click Confidence Learning via Self-Distillation in Recommendation**|Chong Liu et.al.|[2309.16322v1](http://arxiv.org/abs/2309.16322v1)|null| -|**2023-09-27 05:48:05**|**Automatic Feature Fairness in Recommendation via Adversaries**|Hengchang Hu et.al.|[2309.15418v1](http://arxiv.org/abs/2309.15418v1)|[link](https://github.com/holdenhu/advfm)| -|**2023-09-24 15:34:56**|**Survey of Social Bias in Vision-Language Models**|Nayeon Lee et.al.|[2309.14381v1](http://arxiv.org/abs/2309.14381v1)|null| -|**2023-09-23 07:38:56**|**Interactive Content Diversity and User Exploration in Online Movie Recommenders: A Field Experiment**|Ruixuan Sun et.al.|[2309.13296v1](http://arxiv.org/abs/2309.13296v1)|null| -|**2023-09-19 17:31:29**|**Towards affective computing that works for everyone**|Tessa Verhoef et.al.|[2309.10780v1](http://arxiv.org/abs/2309.10780v1)|null| -|**2023-09-19 15:04:55**|**Social Interactions Mediated by the Internet and the Big- Five: a Cross-Country Analysis**|Andrea Mercado et.al.|[2309.10681v1](http://arxiv.org/abs/2309.10681v1)|null| -|**2023-09-19 02:54:08**|**Towards Measuring Fairness in Grid Layout in Recommender Systems**|Amifa Raj et.al.|[2309.10271v1](http://arxiv.org/abs/2309.10271v1)|null| -|**2023-09-18 14:58:13**|**UNICON: A unified framework for behavior-based consumer segmentation in e-commerce**|Manuel Dibak et.al.|[2309.13068v1](http://arxiv.org/abs/2309.13068v1)|null| -|**2023-09-17 13:51:25**|**Fairness for All: Investigating Harms to Within-Group Individuals in Producer Fairness Re-ranking Optimization -- A Reproducibility Study**|Giovanni Pellegrini et.al.|[2309.09277v2](http://arxiv.org/abs/2309.09277v2)|null| -|**2023-09-15 17:56:33**|**An assessment of racial disparities in pretrial decision-making using misclassification models**|Kimberly A. Hochstedler Webb et.al.|[2309.08599v1](http://arxiv.org/abs/2309.08599v1)|null| -|**2023-09-14 18:03:30**|**iHAS: Instance-wise Hierarchical Architecture Search for Deep Learning Recommendation Models**|Yakun Yu et.al.|[2309.07967v1](http://arxiv.org/abs/2309.07967v1)|null| -|**2023-09-13 18:04:52**|**ESRO: Experience Assisted Service Reliability against Outages**|Sarthak Chakraborty et.al.|[2309.07230v1](http://arxiv.org/abs/2309.07230v1)|[link](https://github.com/sarthak-chakraborty/esro)| -|**2023-09-12 03:39:24**|**End-to-End Testing of Open-Source Hardware Documentation Developed in Large Collaborations**|Melinda Yuan et.al.|[2309.05942v1](http://arxiv.org/abs/2309.05942v1)|null| -|**2023-09-12 03:08:21**|**Workshop on a future muon program at FNAL**|S. Corrodi et.al.|[2309.05933v1](http://arxiv.org/abs/2309.05933v1)|null| -|**2023-09-12 00:34:02**|**Distributionally-Informed Recommender System Evaluation**|Michael D. Ekstrand et.al.|[2309.05892v1](http://arxiv.org/abs/2309.05892v1)|null| -|**2023-09-11 20:06:00**|**Enhancing Hyperedge Prediction with Context-Aware Self-Supervised Learning**|Yunyong Ko et.al.|[2309.05798v1](http://arxiv.org/abs/2309.05798v1)|[link](https://github.com/yy-ko/cash)| + 自动更新 @ 2023-10-23 16:08:55 Asia/Shanghai ## Multi Interest Recommendation ### Multi Interest |Publish Date|Title|Author|PDF|Code| | :---: | :---: | :---: | :---: | :---: | +|**2023-10-20 09:12:37**|**Towards Multi-Subsession Conversational Recommendation**|Yu Ji et.al.|[2310.13365v1](http://arxiv.org/abs/2310.13365v1)|null| |**2023-10-16 03:00:17**|**Dual-Scale Interest Extraction Framework with Self-Supervision for Sequential Recommendation**|Liangliang Chen et.al.|[2310.10025v1](http://arxiv.org/abs/2310.10025v1)|null| |**2023-10-14 14:29:52**|**Context-aware Session-based Recommendation with Graph Neural Networks**|Zhihui Zhang et.al.|[2310.09593v1](http://arxiv.org/abs/2310.09593v1)|[link](https://github.com/brilliantzhang/cares)| |**2023-10-02 02:53:49**|**Multi-Label Residual Weighted Learning for Individualized Combination Treatment Rule**|Qi Xu et.al.|[2310.00864v1](http://arxiv.org/abs/2310.00864v1)|null| @@ -53,7 +18,7 @@ |**2023-09-09 14:07:11**|**CPMR: Context-Aware Incremental Sequential Recommendation with Pseudo-Multi-Task Learning**|Qingtian Bian et.al.|[2309.04802v3](http://arxiv.org/abs/2309.04802v3)|[link](https://github.com/dimarziobian/cpmr)| |**2023-09-08 02:54:31**|**Sample-Efficient Co-Design of Robotic Agents Using Multi-fidelity Training on Universal Policy Network**|Kishan R. Nagiredla et.al.|[2309.04085v1](http://arxiv.org/abs/2309.04085v1)|null| |**2023-09-06 15:40:33**|**FArMARe: a Furniture-Aware Multi-task methodology for Recommending Apartments based on the user interests**|Ali Abdari et.al.|[2309.03100v1](http://arxiv.org/abs/2309.03100v1)|[link](https://github.com/aliabdari/farmare)| -|**2023-09-03 06:56:45**|**Multi-Relational Contrastive Learning for Recommendation**|Wei Wei et.al.|[2309.01103v2](http://arxiv.org/abs/2309.01103v2)|[link](https://github.com/HKUDS/RCL)| +|**2023-09-03 06:56:45**|**Multi-Relational Contrastive Learning for Recommendation**|Wei Wei et.al.|[2309.01103v3](http://arxiv.org/abs/2309.01103v3)|[link](https://github.com/HKUDS/RCL)| |**2023-08-30 07:53:27**|**DRGame: Diversified Recommendation for Multi-category Video Games with Balanced Implicit Preferences**|Kangzhe Liu et.al.|[2308.15823v1](http://arxiv.org/abs/2308.15823v1)|null| |**2023-08-30 01:54:48**|**A Survey on Multi-Behavior Sequential Recommendation**|Xiaoqing Chen et.al.|[2308.15701v1](http://arxiv.org/abs/2308.15701v1)|null| |**2023-08-28 03:15:37**|**Alleviating Video-Length Effect for Micro-video Recommendation**|Yuhan Quan et.al.|[2308.14276v2](http://arxiv.org/abs/2308.14276v2)|null| @@ -71,18 +36,27 @@ |**2023-07-05 14:06:45**|**Recommended Implementation of Quantitative Susceptibility Mapping for Clinical Research in The Brain: A Consensus of the ISMRM Electro-Magnetic Tissue Properties Study Group**|Berkin Bilgic et.al.|[2307.02306v1](http://arxiv.org/abs/2307.02306v1)|null| |**2023-06-24 15:00:47**|**A clustering and graph deep learning-based framework for COVID-19 drug repurposing**|Chaarvi Bansal et.al.|[2306.13995v1](http://arxiv.org/abs/2306.13995v1)|null| |**2023-06-16 05:46:27**|**M3PT: A Multi-Modal Model for POI Tagging**|Jingsong Yang et.al.|[2306.10079v1](http://arxiv.org/abs/2306.10079v1)|null| -|**2023-06-12 15:00:58**|**Interpolating Item and User Fairness in Recommendation Systems**|Qinyi Chen et.al.|[2306.10050v1](http://arxiv.org/abs/2306.10050v1)|null| ## Graph Neural Network ### GNN |Publish Date|Title|Author|PDF|Code| | :---: | :---: | :---: | :---: | :---: | +|**2023-10-20 15:33:23**|**ReLM: Leveraging Language Models for Enhanced Chemical Reaction Prediction**|Yaorui Shi et.al.|[2310.13590v1](http://arxiv.org/abs/2310.13590v1)|[link](https://github.com/syr-cn/relm)| +|**2023-10-20 15:23:17**|**SPARE: A Single-Pass Neural Model for Relational Databases**|Benjamin Hilprecht et.al.|[2310.13581v1](http://arxiv.org/abs/2310.13581v1)|null| +|**2023-10-20 10:38:28**|**Towards Enhancing Relational Rules for Knowledge Graph Link Prediction**|Shuhan Wu et.al.|[2310.13411v1](http://arxiv.org/abs/2310.13411v1)|null| +|**2023-10-20 03:13:10**|**TempGNN: Temporal Graph Neural Networks for Dynamic Session-Based Recommendations**|Eunkyu Oh et.al.|[2310.13249v1](http://arxiv.org/abs/2310.13249v1)|null| +|**2023-10-20 03:06:41**|**FLEE-GNN: A Federated Learning System for Edge-Enhanced Graph Neural Network in Analyzing Geospatial Resilience of Multicommodity Food Flows**|Yuxiao Qu et.al.|[2310.13248v1](http://arxiv.org/abs/2310.13248v1)|[link](https://github.com/geods/flee-gnn)| +|**2023-10-20 01:55:10**|**HierCas: Hierarchical Temporal Graph Attention Networks for Popularity Prediction in Information Cascades**|Zhizhen Zhang et.al.|[2310.13219v1](http://arxiv.org/abs/2310.13219v1)|null| +|**2023-10-19 23:04:09**|**Heterogeneous Graph Neural Networks for Data-driven Traffic Assignment**|Tong Liu et.al.|[2310.13193v1](http://arxiv.org/abs/2310.13193v1)|null| +|**2023-10-19 20:32:25**|**Graph Neural Networks with polynomial activations have limited expressivity**|Sammy Khalife et.al.|[2310.13139v1](http://arxiv.org/abs/2310.13139v1)|null| |**2023-10-19 14:55:51**|**Exploring Graph Neural Networks for Indian Legal Judgment Prediction**|Mann Khatri et.al.|[2310.12800v1](http://arxiv.org/abs/2310.12800v1)|null| +|**2023-10-19 14:49:35**|**Agri-GNN: A Novel Genotypic-Topological Graph Neural Network Framework Built on GraphSAGE for Optimized Yield Prediction**|Aditya Gupta et.al.|[2310.13037v1](http://arxiv.org/abs/2310.13037v1)|null| |**2023-10-19 08:41:21**|**Pretraining Language Models with Text-Attributed Heterogeneous Graphs**|Tao Zou et.al.|[2310.12580v1](http://arxiv.org/abs/2310.12580v1)|[link](https://github.com/hope-rita/thlm)| |**2023-10-19 08:18:10**|**Open-World Lifelong Graph Learning**|Marcel Hoffmann et.al.|[2310.12565v1](http://arxiv.org/abs/2310.12565v1)|[link](https://github.com/bobowner/open-world-lgl)| |**2023-10-19 08:07:22**|**DepWiGNN: A Depth-wise Graph Neural Network for Multi-hop Spatial Reasoning in Text**|Shuaiyi Li et.al.|[2310.12557v1](http://arxiv.org/abs/2310.12557v1)|[link](https://github.com/syon-li/depwignn)| |**2023-10-19 06:32:12**|**WeaveNet for Approximating Two-sided Matching Problems**|Shusaku Sone et.al.|[2310.12515v1](http://arxiv.org/abs/2310.12515v1)|null| +|**2023-10-19 06:17:46**|**GraphGPT: Graph Instruction Tuning for Large Language Models**|Jiabin Tang et.al.|[2310.13023v1](http://arxiv.org/abs/2310.13023v1)|[link](https://github.com/HKUDS/GraphGPT)| |**2023-10-19 04:30:14**|**MuseGNN: Interpretable and Convergent Graph Neural Network Layers at Scale**|Haitian Jiang et.al.|[2310.12457v1](http://arxiv.org/abs/2310.12457v1)|null| |**2023-10-19 01:41:11**|**Classification-Aided Robust Multiple Target Tracking Using Neural Enhanced Message Passing**|Xianglong Bai et.al.|[2310.12407v1](http://arxiv.org/abs/2310.12407v1)|null| |**2023-10-19 01:15:24**|**Cooperative Minibatching in Graph Neural Networks**|Muhammed Fatih Balin et.al.|[2310.12403v1](http://arxiv.org/abs/2310.12403v1)|null| @@ -94,17 +68,43 @@ |**2023-10-18 08:27:09**|**NeuroCUT: A Neural Approach for Robust Graph Partitioning**|Rishi Shah et.al.|[2310.11787v1](http://arxiv.org/abs/2310.11787v1)|null| |**2023-10-18 07:39:05**|**A Quasi-Wasserstein Loss for Learning Graph Neural Networks**|Minjie Cheng et.al.|[2310.11762v2](http://arxiv.org/abs/2310.11762v2)|null| |**2023-10-18 05:59:41**|**Federated Heterogeneous Graph Neural Network for Privacy-preserving Recommendation**|Bo Yan et.al.|[2310.11730v1](http://arxiv.org/abs/2310.11730v1)|null| -|**2023-10-18 04:54:32**|**Learning Co-Speech Gesture for Multimodal Aphasia Type Detection**|Daeun Lee et.al.|[2310.11710v1](http://arxiv.org/abs/2310.11710v1)|[link](https://github.com/dsail-skku/multimodal-aphasia-type-detection_emnlp_2023)| +|**2023-10-18 04:54:32**|**Learning Co-Speech Gesture for Multimodal Aphasia Type Detection**|Daeun Lee et.al.|[2310.11710v2](http://arxiv.org/abs/2310.11710v2)|[link](https://github.com/dsail-skku/multimodal-aphasia-type-detection_emnlp_2023)| |**2023-10-18 04:13:48**|**Architectural Implications of GNN Aggregation Programming Abstractions**|Yingjie Qi et.al.|[2310.12184v1](http://arxiv.org/abs/2310.12184v1)|null| |**2023-10-18 02:19:12**|**Hetero$^2$Net: Heterophily-aware Representation Learning on Heterogenerous Graphs**|Jintang Li et.al.|[2310.11664v1](http://arxiv.org/abs/2310.11664v1)|null| |**2023-10-17 20:20:38**|**RekomGNN: Visualizing, Contextualizing and Evaluating Graph Neural Networks Recommendations**|Camelia D. Brumar et.al.|[2310.11562v1](http://arxiv.org/abs/2310.11562v1)|null| -|**2023-10-17 17:25:31**|**VcT: Visual change Transformer for Remote Sensing Image Change Detection**|Bo Jiang et.al.|[2310.11417v1](http://arxiv.org/abs/2310.11417v1)|[link](https://github.com/event-ahu/vct_remote_sensing_change_detection)| -|**2023-10-17 15:40:26**|**Hybrid quantum-classical graph neural networks for tumor classification in digital pathology**|Anupama Ray et.al.|[2310.11353v1](http://arxiv.org/abs/2310.11353v1)|null| -|**2023-10-17 14:04:22**|**Self-supervision meets kernel graph neural models: From architecture to augmentations**|Jiawang Dan et.al.|[2310.11281v1](http://arxiv.org/abs/2310.11281v1)|null| -|**2023-10-17 13:42:32**|**Graph Neural Networks for Recommendation: Reproducibility, Graph Topology, and Node Representation**|Daniele Malitesta et.al.|[2310.11270v2](http://arxiv.org/abs/2310.11270v2)|null| -|**2023-10-17 11:28:30**|**Accurate prediction of international trade flows: Leveraging knowledge graphs and their embeddings**|Diego Rincon-Yanez et.al.|[2310.11161v1](http://arxiv.org/abs/2310.11161v1)|null| -|**2023-10-17 10:24:25**|**On the Temperature of Bayesian Graph Neural Networks for Conformal Prediction**|Seohyeon Cha et.al.|[2310.11479v1](http://arxiv.org/abs/2310.11479v1)|null| -|**2023-10-17 09:08:33**|**CSG: Curriculum Representation Learning for Signed Graph**|Zeyu Zhang et.al.|[2310.11083v1](http://arxiv.org/abs/2310.11083v1)|null| -|**2023-10-17 09:06:41**|**Multi-omics Sampling-based Graph Transformer for Synthetic Lethality Prediction**|Xusheng Zhao et.al.|[2310.11082v1](http://arxiv.org/abs/2310.11082v1)|null| -|**2023-10-17 07:25:59**|**Fast Graph Condensation with Structure-based Neural Tangent Kernel**|Lin Wang et.al.|[2310.11046v1](http://arxiv.org/abs/2310.11046v1)|null| -|**2023-10-17 07:18:03**|**Spoofing Attack Detection in the Physical Layer with Robustness to User Movement**|Daniel Romero et.al.|[2310.11043v1](http://arxiv.org/abs/2310.11043v1)|null| + +## Group Recommendation + +### Group +|Publish Date|Title|Author|PDF|Code| +| :---: | :---: | :---: | :---: | :---: | +|**2023-10-18 12:06:54**|**SHA-SCP: A UI Element Spatial Hierarchy Aware Smartphone User Click Behavior Prediction Method**|Ling Chen et.al.|[2310.11915v1](http://arxiv.org/abs/2310.11915v1)|null| +|**2023-10-17 13:39:26**|**Emulating Human Cognitive Processes for Expert-Level Medical Question-Answering with Large Language Models**|Khushboo Verma et.al.|[2310.11266v1](http://arxiv.org/abs/2310.11266v1)|null| +|**2023-10-17 07:02:26**|**Lyricist-Singer Entropy Affects Lyric-Lyricist Classification Performance**|Mitsuki Morita et.al.|[2310.11035v1](http://arxiv.org/abs/2310.11035v1)|null| +|**2023-10-15 13:18:31**|**VFLAIR: A Research Library and Benchmark for Vertical Federated Learning**|Tianyuan Zou et.al.|[2310.09827v1](http://arxiv.org/abs/2310.09827v1)|[link](https://github.com/flair-thu/vflair)| +|**2023-10-12 16:15:30**|**Metrics for popularity bias in dynamic recommender systems**|Valentijn Braun et.al.|[2310.08455v1](http://arxiv.org/abs/2310.08455v1)|null| +|**2023-10-10 16:23:41**|**Comparing AI Algorithms for Optimizing Elliptic Curve Cryptography Parameters in Third-Party E-Commerce Integrations: A Pre-Quantum Era Analysis**|Felipe Tellez et.al.|[2310.06752v1](http://arxiv.org/abs/2310.06752v1)|[link](https://github.com/cftellezc/GA_PSO_ECC_parameter_Optimization)| +|**2023-10-04 21:43:30**|**Sensitivity analysis for causality in observational studies for regulatory science**|Iván Díaz et.al.|[2310.03176v2](http://arxiv.org/abs/2310.03176v2)|null| +|**2023-10-04 21:42:01**|**Test Case Recommendations with Distributed Representation of Code Syntactic Features**|Mosab Rezaei et.al.|[2310.03174v1](http://arxiv.org/abs/2310.03174v1)|[link](https://github.com/mosabrezaei/test-case-recommendation)| +|**2023-10-04 16:54:03**|**Potential Factors Leading to Popularity Unfairness in Recommender Systems: A User-Centered Analysis**|Masoud Mansoury et.al.|[2310.02961v1](http://arxiv.org/abs/2310.02961v1)|null| +|**2023-10-04 08:35:54**|**Affirmative Action in India: Restricted Strategy Space, Complex Constraints, and Direct Mechanism Design**|Orhan Aygün et.al.|[2310.02660v1](http://arxiv.org/abs/2310.02660v1)|null| +|**2023-10-04 01:40:03**|**Who Audits the Auditors? Recommendations from a field scan of the algorithmic auditing ecosystem**|Sasha Costanza-Chock et.al.|[2310.02521v1](http://arxiv.org/abs/2310.02521v1)|null| +|**2023-10-03 18:35:08**|**Descriptive Discriminant Analysis of Multivariate Repeated Measures Data: A Use Case**|Ricarda Graf et.al.|[2310.02359v1](http://arxiv.org/abs/2310.02359v1)|null| +|**2023-10-02 21:18:57**|**Strategic Information Attacks on Incentive-Compatible Navigational Recommendations in Intelligent Transportation Systems**|Ya-Ting Yang et.al.|[2310.01646v1](http://arxiv.org/abs/2310.01646v1)|null| +|**2023-09-29 17:26:44**|**Networked Inequality: Preferential Attachment Bias in Graph Neural Network Link Prediction**|Arjun Subramonian et.al.|[2309.17417v1](http://arxiv.org/abs/2309.17417v1)|[link](https://github.com/arjunsubramonian/link_bias_amplification)| +|**2023-09-28 10:29:51**|**Multi-Granularity Click Confidence Learning via Self-Distillation in Recommendation**|Chong Liu et.al.|[2309.16322v1](http://arxiv.org/abs/2309.16322v1)|null| +|**2023-09-27 05:48:05**|**Automatic Feature Fairness in Recommendation via Adversaries**|Hengchang Hu et.al.|[2309.15418v1](http://arxiv.org/abs/2309.15418v1)|[link](https://github.com/holdenhu/advfm)| +|**2023-09-24 15:34:56**|**Survey of Social Bias in Vision-Language Models**|Nayeon Lee et.al.|[2309.14381v1](http://arxiv.org/abs/2309.14381v1)|null| +|**2023-09-23 07:38:56**|**Interactive Content Diversity and User Exploration in Online Movie Recommenders: A Field Experiment**|Ruixuan Sun et.al.|[2309.13296v1](http://arxiv.org/abs/2309.13296v1)|null| +|**2023-09-19 17:31:29**|**Towards affective computing that works for everyone**|Tessa Verhoef et.al.|[2309.10780v1](http://arxiv.org/abs/2309.10780v1)|null| +|**2023-09-19 15:04:55**|**Social Interactions Mediated by the Internet and the Big- Five: a Cross-Country Analysis**|Andrea Mercado et.al.|[2309.10681v1](http://arxiv.org/abs/2309.10681v1)|null| +|**2023-09-19 02:54:08**|**Towards Measuring Fairness in Grid Layout in Recommender Systems**|Amifa Raj et.al.|[2309.10271v1](http://arxiv.org/abs/2309.10271v1)|null| +|**2023-09-18 14:58:13**|**UNICON: A unified framework for behavior-based consumer segmentation in e-commerce**|Manuel Dibak et.al.|[2309.13068v1](http://arxiv.org/abs/2309.13068v1)|null| +|**2023-09-17 13:51:25**|**Fairness for All: Investigating Harms to Within-Group Individuals in Producer Fairness Re-ranking Optimization -- A Reproducibility Study**|Giovanni Pellegrini et.al.|[2309.09277v2](http://arxiv.org/abs/2309.09277v2)|null| +|**2023-09-15 17:56:33**|**An assessment of racial disparities in pretrial decision-making using misclassification models**|Kimberly A. Hochstedler Webb et.al.|[2309.08599v1](http://arxiv.org/abs/2309.08599v1)|null| +|**2023-09-14 18:03:30**|**iHAS: Instance-wise Hierarchical Architecture Search for Deep Learning Recommendation Models**|Yakun Yu et.al.|[2309.07967v1](http://arxiv.org/abs/2309.07967v1)|null| +|**2023-09-13 18:04:52**|**ESRO: Experience Assisted Service Reliability against Outages**|Sarthak Chakraborty et.al.|[2309.07230v1](http://arxiv.org/abs/2309.07230v1)|[link](https://github.com/sarthak-chakraborty/esro)| +|**2023-09-12 03:39:24**|**End-to-End Testing of Open-Source Hardware Documentation Developed in Large Collaborations**|Melinda Yuan et.al.|[2309.05942v1](http://arxiv.org/abs/2309.05942v1)|null| +|**2023-09-12 03:08:21**|**Workshop on a future muon program at FNAL**|S. Corrodi et.al.|[2309.05933v1](http://arxiv.org/abs/2309.05933v1)|null| +|**2023-09-12 00:34:02**|**Distributionally-Informed Recommender System Evaluation**|Michael D. Ekstrand et.al.|[2309.05892v1](http://arxiv.org/abs/2309.05892v1)|null| +|**2023-09-11 20:06:00**|**Enhancing Hyperedge Prediction with Context-Aware Self-Supervised Learning**|Yunyong Ko et.al.|[2309.05798v1](http://arxiv.org/abs/2309.05798v1)|[link](https://github.com/yy-ko/cash)| diff --git a/docs/Graph Neural Network/GNN.md b/docs/Graph Neural Network/GNN.md index b14197df..90ad6ccd 100644 --- a/docs/Graph Neural Network/GNN.md +++ b/docs/Graph Neural Network/GNN.md @@ -2,11 +2,21 @@ ### GNN |Publish Date|Title|Author|PDF|Code| | :---: | :---: | :---: | :---: | :---: | +|**2023-10-20 15:33:23**|**ReLM: Leveraging Language Models for Enhanced Chemical Reaction Prediction**|Yaorui Shi et.al.|[2310.13590v1](http://arxiv.org/abs/2310.13590v1)|[link](https://github.com/syr-cn/relm)| +|**2023-10-20 15:23:17**|**SPARE: A Single-Pass Neural Model for Relational Databases**|Benjamin Hilprecht et.al.|[2310.13581v1](http://arxiv.org/abs/2310.13581v1)|null| +|**2023-10-20 10:38:28**|**Towards Enhancing Relational Rules for Knowledge Graph Link Prediction**|Shuhan Wu et.al.|[2310.13411v1](http://arxiv.org/abs/2310.13411v1)|null| +|**2023-10-20 03:13:10**|**TempGNN: Temporal Graph Neural Networks for Dynamic Session-Based Recommendations**|Eunkyu Oh et.al.|[2310.13249v1](http://arxiv.org/abs/2310.13249v1)|null| +|**2023-10-20 03:06:41**|**FLEE-GNN: A Federated Learning System for Edge-Enhanced Graph Neural Network in Analyzing Geospatial Resilience of Multicommodity Food Flows**|Yuxiao Qu et.al.|[2310.13248v1](http://arxiv.org/abs/2310.13248v1)|[link](https://github.com/geods/flee-gnn)| +|**2023-10-20 01:55:10**|**HierCas: Hierarchical Temporal Graph Attention Networks for Popularity Prediction in Information Cascades**|Zhizhen Zhang et.al.|[2310.13219v1](http://arxiv.org/abs/2310.13219v1)|null| +|**2023-10-19 23:04:09**|**Heterogeneous Graph Neural Networks for Data-driven Traffic Assignment**|Tong Liu et.al.|[2310.13193v1](http://arxiv.org/abs/2310.13193v1)|null| +|**2023-10-19 20:32:25**|**Graph Neural Networks with polynomial activations have limited expressivity**|Sammy Khalife et.al.|[2310.13139v1](http://arxiv.org/abs/2310.13139v1)|null| |**2023-10-19 14:55:51**|**Exploring Graph Neural Networks for Indian Legal Judgment Prediction**|Mann Khatri et.al.|[2310.12800v1](http://arxiv.org/abs/2310.12800v1)|null| +|**2023-10-19 14:49:35**|**Agri-GNN: A Novel Genotypic-Topological Graph Neural Network Framework Built on GraphSAGE for Optimized Yield Prediction**|Aditya Gupta et.al.|[2310.13037v1](http://arxiv.org/abs/2310.13037v1)|null| |**2023-10-19 08:41:21**|**Pretraining Language Models with Text-Attributed Heterogeneous Graphs**|Tao Zou et.al.|[2310.12580v1](http://arxiv.org/abs/2310.12580v1)|[link](https://github.com/hope-rita/thlm)| |**2023-10-19 08:18:10**|**Open-World Lifelong Graph Learning**|Marcel Hoffmann et.al.|[2310.12565v1](http://arxiv.org/abs/2310.12565v1)|[link](https://github.com/bobowner/open-world-lgl)| |**2023-10-19 08:07:22**|**DepWiGNN: A Depth-wise Graph Neural Network for Multi-hop Spatial Reasoning in Text**|Shuaiyi Li et.al.|[2310.12557v1](http://arxiv.org/abs/2310.12557v1)|[link](https://github.com/syon-li/depwignn)| |**2023-10-19 06:32:12**|**WeaveNet for Approximating Two-sided Matching Problems**|Shusaku Sone et.al.|[2310.12515v1](http://arxiv.org/abs/2310.12515v1)|null| +|**2023-10-19 06:17:46**|**GraphGPT: Graph Instruction Tuning for Large Language Models**|Jiabin Tang et.al.|[2310.13023v1](http://arxiv.org/abs/2310.13023v1)|[link](https://github.com/HKUDS/GraphGPT)| |**2023-10-19 04:30:14**|**MuseGNN: Interpretable and Convergent Graph Neural Network Layers at Scale**|Haitian Jiang et.al.|[2310.12457v1](http://arxiv.org/abs/2310.12457v1)|null| |**2023-10-19 01:41:11**|**Classification-Aided Robust Multiple Target Tracking Using Neural Enhanced Message Passing**|Xianglong Bai et.al.|[2310.12407v1](http://arxiv.org/abs/2310.12407v1)|null| |**2023-10-19 01:15:24**|**Cooperative Minibatching in Graph Neural Networks**|Muhammed Fatih Balin et.al.|[2310.12403v1](http://arxiv.org/abs/2310.12403v1)|null| @@ -18,17 +28,7 @@ |**2023-10-18 08:27:09**|**NeuroCUT: A Neural Approach for Robust Graph Partitioning**|Rishi Shah et.al.|[2310.11787v1](http://arxiv.org/abs/2310.11787v1)|null| |**2023-10-18 07:39:05**|**A Quasi-Wasserstein Loss for Learning Graph Neural Networks**|Minjie Cheng et.al.|[2310.11762v2](http://arxiv.org/abs/2310.11762v2)|null| |**2023-10-18 05:59:41**|**Federated Heterogeneous Graph Neural Network for Privacy-preserving Recommendation**|Bo Yan et.al.|[2310.11730v1](http://arxiv.org/abs/2310.11730v1)|null| -|**2023-10-18 04:54:32**|**Learning Co-Speech Gesture for Multimodal Aphasia Type Detection**|Daeun Lee et.al.|[2310.11710v1](http://arxiv.org/abs/2310.11710v1)|[link](https://github.com/dsail-skku/multimodal-aphasia-type-detection_emnlp_2023)| +|**2023-10-18 04:54:32**|**Learning Co-Speech Gesture for Multimodal Aphasia Type Detection**|Daeun Lee et.al.|[2310.11710v2](http://arxiv.org/abs/2310.11710v2)|[link](https://github.com/dsail-skku/multimodal-aphasia-type-detection_emnlp_2023)| |**2023-10-18 04:13:48**|**Architectural Implications of GNN Aggregation Programming Abstractions**|Yingjie Qi et.al.|[2310.12184v1](http://arxiv.org/abs/2310.12184v1)|null| |**2023-10-18 02:19:12**|**Hetero$^2$Net: Heterophily-aware Representation Learning on Heterogenerous Graphs**|Jintang Li et.al.|[2310.11664v1](http://arxiv.org/abs/2310.11664v1)|null| |**2023-10-17 20:20:38**|**RekomGNN: Visualizing, Contextualizing and Evaluating Graph Neural Networks Recommendations**|Camelia D. Brumar et.al.|[2310.11562v1](http://arxiv.org/abs/2310.11562v1)|null| -|**2023-10-17 17:25:31**|**VcT: Visual change Transformer for Remote Sensing Image Change Detection**|Bo Jiang et.al.|[2310.11417v1](http://arxiv.org/abs/2310.11417v1)|[link](https://github.com/event-ahu/vct_remote_sensing_change_detection)| -|**2023-10-17 15:40:26**|**Hybrid quantum-classical graph neural networks for tumor classification in digital pathology**|Anupama Ray et.al.|[2310.11353v1](http://arxiv.org/abs/2310.11353v1)|null| -|**2023-10-17 14:04:22**|**Self-supervision meets kernel graph neural models: From architecture to augmentations**|Jiawang Dan et.al.|[2310.11281v1](http://arxiv.org/abs/2310.11281v1)|null| -|**2023-10-17 13:42:32**|**Graph Neural Networks for Recommendation: Reproducibility, Graph Topology, and Node Representation**|Daniele Malitesta et.al.|[2310.11270v2](http://arxiv.org/abs/2310.11270v2)|null| -|**2023-10-17 11:28:30**|**Accurate prediction of international trade flows: Leveraging knowledge graphs and their embeddings**|Diego Rincon-Yanez et.al.|[2310.11161v1](http://arxiv.org/abs/2310.11161v1)|null| -|**2023-10-17 10:24:25**|**On the Temperature of Bayesian Graph Neural Networks for Conformal Prediction**|Seohyeon Cha et.al.|[2310.11479v1](http://arxiv.org/abs/2310.11479v1)|null| -|**2023-10-17 09:08:33**|**CSG: Curriculum Representation Learning for Signed Graph**|Zeyu Zhang et.al.|[2310.11083v1](http://arxiv.org/abs/2310.11083v1)|null| -|**2023-10-17 09:06:41**|**Multi-omics Sampling-based Graph Transformer for Synthetic Lethality Prediction**|Xusheng Zhao et.al.|[2310.11082v1](http://arxiv.org/abs/2310.11082v1)|null| -|**2023-10-17 07:25:59**|**Fast Graph Condensation with Structure-based Neural Tangent Kernel**|Lin Wang et.al.|[2310.11046v1](http://arxiv.org/abs/2310.11046v1)|null| -|**2023-10-17 07:18:03**|**Spoofing Attack Detection in the Physical Layer with Robustness to User Movement**|Daniel Romero et.al.|[2310.11043v1](http://arxiv.org/abs/2310.11043v1)|null| diff --git a/docs/Multi Interest Recommendation/Multi Interest.md b/docs/Multi Interest Recommendation/Multi Interest.md index 8632be7b..69d0c21e 100644 --- a/docs/Multi Interest Recommendation/Multi Interest.md +++ b/docs/Multi Interest Recommendation/Multi Interest.md @@ -2,6 +2,7 @@ ### Multi Interest |Publish Date|Title|Author|PDF|Code| | :---: | :---: | :---: | :---: | :---: | +|**2023-10-20 09:12:37**|**Towards Multi-Subsession Conversational Recommendation**|Yu Ji et.al.|[2310.13365v1](http://arxiv.org/abs/2310.13365v1)|null| |**2023-10-16 03:00:17**|**Dual-Scale Interest Extraction Framework with Self-Supervision for Sequential Recommendation**|Liangliang Chen et.al.|[2310.10025v1](http://arxiv.org/abs/2310.10025v1)|null| |**2023-10-14 14:29:52**|**Context-aware Session-based Recommendation with Graph Neural Networks**|Zhihui Zhang et.al.|[2310.09593v1](http://arxiv.org/abs/2310.09593v1)|[link](https://github.com/brilliantzhang/cares)| |**2023-10-02 02:53:49**|**Multi-Label Residual Weighted Learning for Individualized Combination Treatment Rule**|Qi Xu et.al.|[2310.00864v1](http://arxiv.org/abs/2310.00864v1)|null| @@ -13,7 +14,7 @@ |**2023-09-09 14:07:11**|**CPMR: Context-Aware Incremental Sequential Recommendation with Pseudo-Multi-Task Learning**|Qingtian Bian et.al.|[2309.04802v3](http://arxiv.org/abs/2309.04802v3)|[link](https://github.com/dimarziobian/cpmr)| |**2023-09-08 02:54:31**|**Sample-Efficient Co-Design of Robotic Agents Using Multi-fidelity Training on Universal Policy Network**|Kishan R. Nagiredla et.al.|[2309.04085v1](http://arxiv.org/abs/2309.04085v1)|null| |**2023-09-06 15:40:33**|**FArMARe: a Furniture-Aware Multi-task methodology for Recommending Apartments based on the user interests**|Ali Abdari et.al.|[2309.03100v1](http://arxiv.org/abs/2309.03100v1)|[link](https://github.com/aliabdari/farmare)| -|**2023-09-03 06:56:45**|**Multi-Relational Contrastive Learning for Recommendation**|Wei Wei et.al.|[2309.01103v2](http://arxiv.org/abs/2309.01103v2)|[link](https://github.com/HKUDS/RCL)| +|**2023-09-03 06:56:45**|**Multi-Relational Contrastive Learning for Recommendation**|Wei Wei et.al.|[2309.01103v3](http://arxiv.org/abs/2309.01103v3)|[link](https://github.com/HKUDS/RCL)| |**2023-08-30 07:53:27**|**DRGame: Diversified Recommendation for Multi-category Video Games with Balanced Implicit Preferences**|Kangzhe Liu et.al.|[2308.15823v1](http://arxiv.org/abs/2308.15823v1)|null| |**2023-08-30 01:54:48**|**A Survey on Multi-Behavior Sequential Recommendation**|Xiaoqing Chen et.al.|[2308.15701v1](http://arxiv.org/abs/2308.15701v1)|null| |**2023-08-28 03:15:37**|**Alleviating Video-Length Effect for Micro-video Recommendation**|Yuhan Quan et.al.|[2308.14276v2](http://arxiv.org/abs/2308.14276v2)|null| @@ -31,4 +32,3 @@ |**2023-07-05 14:06:45**|**Recommended Implementation of Quantitative Susceptibility Mapping for Clinical Research in The Brain: A Consensus of the ISMRM Electro-Magnetic Tissue Properties Study Group**|Berkin Bilgic et.al.|[2307.02306v1](http://arxiv.org/abs/2307.02306v1)|null| |**2023-06-24 15:00:47**|**A clustering and graph deep learning-based framework for COVID-19 drug repurposing**|Chaarvi Bansal et.al.|[2306.13995v1](http://arxiv.org/abs/2306.13995v1)|null| |**2023-06-16 05:46:27**|**M3PT: A Multi-Modal Model for POI Tagging**|Jingsong Yang et.al.|[2306.10079v1](http://arxiv.org/abs/2306.10079v1)|null| -|**2023-06-12 15:00:58**|**Interpolating Item and User Fairness in Recommendation Systems**|Qinyi Chen et.al.|[2306.10050v1](http://arxiv.org/abs/2306.10050v1)|null| diff --git a/docs/index.md b/docs/index.md index d84d059a..393644d9 100644 --- a/docs/index.md +++ b/docs/index.md @@ -1,47 +1,12 @@ # arxiv-daily - 自动更新 @ 2023-10-22 16:07:15 Asia/Shanghai - -## Group Recommendation - -### Group -|Publish Date|Title|Author|PDF|Code| -| :---: | :---: | :---: | :---: | :---: | -|**2023-10-18 12:06:54**|**SHA-SCP: A UI Element Spatial Hierarchy Aware Smartphone User Click Behavior Prediction Method**|Ling Chen et.al.|[2310.11915v1](http://arxiv.org/abs/2310.11915v1)|null| -|**2023-10-17 13:39:26**|**Emulating Human Cognitive Processes for Expert-Level Medical Question-Answering with Large Language Models**|Khushboo Verma et.al.|[2310.11266v1](http://arxiv.org/abs/2310.11266v1)|null| -|**2023-10-17 07:02:26**|**Lyricist-Singer Entropy Affects Lyric-Lyricist Classification Performance**|Mitsuki Morita et.al.|[2310.11035v1](http://arxiv.org/abs/2310.11035v1)|null| -|**2023-10-15 13:18:31**|**VFLAIR: A Research Library and Benchmark for Vertical Federated Learning**|Tianyuan Zou et.al.|[2310.09827v1](http://arxiv.org/abs/2310.09827v1)|[link](https://github.com/flair-thu/vflair)| -|**2023-10-12 16:15:30**|**Metrics for popularity bias in dynamic recommender systems**|Valentijn Braun et.al.|[2310.08455v1](http://arxiv.org/abs/2310.08455v1)|null| -|**2023-10-10 16:23:41**|**Comparing AI Algorithms for Optimizing Elliptic Curve Cryptography Parameters in Third-Party E-Commerce Integrations: A Pre-Quantum Era Analysis**|Felipe Tellez et.al.|[2310.06752v1](http://arxiv.org/abs/2310.06752v1)|[link](https://github.com/cftellezc/GA_PSO_ECC_parameter_Optimization)| -|**2023-10-04 21:43:30**|**Sensitivity analysis for causality in observational studies for regulatory science**|Iván Díaz et.al.|[2310.03176v2](http://arxiv.org/abs/2310.03176v2)|null| -|**2023-10-04 21:42:01**|**Test Case Recommendations with Distributed Representation of Code Syntactic Features**|Mosab Rezaei et.al.|[2310.03174v1](http://arxiv.org/abs/2310.03174v1)|[link](https://github.com/mosabrezaei/test-case-recommendation)| -|**2023-10-04 16:54:03**|**Potential Factors Leading to Popularity Unfairness in Recommender Systems: A User-Centered Analysis**|Masoud Mansoury et.al.|[2310.02961v1](http://arxiv.org/abs/2310.02961v1)|null| -|**2023-10-04 08:35:54**|**Affirmative Action in India: Restricted Strategy Space, Complex Constraints, and Direct Mechanism Design**|Orhan Aygün et.al.|[2310.02660v1](http://arxiv.org/abs/2310.02660v1)|null| -|**2023-10-04 01:40:03**|**Who Audits the Auditors? Recommendations from a field scan of the algorithmic auditing ecosystem**|Sasha Costanza-Chock et.al.|[2310.02521v1](http://arxiv.org/abs/2310.02521v1)|null| -|**2023-10-03 18:35:08**|**Descriptive Discriminant Analysis of Multivariate Repeated Measures Data: A Use Case**|Ricarda Graf et.al.|[2310.02359v1](http://arxiv.org/abs/2310.02359v1)|null| -|**2023-10-02 21:18:57**|**Strategic Information Attacks on Incentive-Compatible Navigational Recommendations in Intelligent Transportation Systems**|Ya-Ting Yang et.al.|[2310.01646v1](http://arxiv.org/abs/2310.01646v1)|null| -|**2023-09-29 17:26:44**|**Networked Inequality: Preferential Attachment Bias in Graph Neural Network Link Prediction**|Arjun Subramonian et.al.|[2309.17417v1](http://arxiv.org/abs/2309.17417v1)|[link](https://github.com/arjunsubramonian/link_bias_amplification)| -|**2023-09-28 10:29:51**|**Multi-Granularity Click Confidence Learning via Self-Distillation in Recommendation**|Chong Liu et.al.|[2309.16322v1](http://arxiv.org/abs/2309.16322v1)|null| -|**2023-09-27 05:48:05**|**Automatic Feature Fairness in Recommendation via Adversaries**|Hengchang Hu et.al.|[2309.15418v1](http://arxiv.org/abs/2309.15418v1)|[link](https://github.com/holdenhu/advfm)| -|**2023-09-24 15:34:56**|**Survey of Social Bias in Vision-Language Models**|Nayeon Lee et.al.|[2309.14381v1](http://arxiv.org/abs/2309.14381v1)|null| -|**2023-09-23 07:38:56**|**Interactive Content Diversity and User Exploration in Online Movie Recommenders: A Field Experiment**|Ruixuan Sun et.al.|[2309.13296v1](http://arxiv.org/abs/2309.13296v1)|null| -|**2023-09-19 17:31:29**|**Towards affective computing that works for everyone**|Tessa Verhoef et.al.|[2309.10780v1](http://arxiv.org/abs/2309.10780v1)|null| -|**2023-09-19 15:04:55**|**Social Interactions Mediated by the Internet and the Big- Five: a Cross-Country Analysis**|Andrea Mercado et.al.|[2309.10681v1](http://arxiv.org/abs/2309.10681v1)|null| -|**2023-09-19 02:54:08**|**Towards Measuring Fairness in Grid Layout in Recommender Systems**|Amifa Raj et.al.|[2309.10271v1](http://arxiv.org/abs/2309.10271v1)|null| -|**2023-09-18 14:58:13**|**UNICON: A unified framework for behavior-based consumer segmentation in e-commerce**|Manuel Dibak et.al.|[2309.13068v1](http://arxiv.org/abs/2309.13068v1)|null| -|**2023-09-17 13:51:25**|**Fairness for All: Investigating Harms to Within-Group Individuals in Producer Fairness Re-ranking Optimization -- A Reproducibility Study**|Giovanni Pellegrini et.al.|[2309.09277v2](http://arxiv.org/abs/2309.09277v2)|null| -|**2023-09-15 17:56:33**|**An assessment of racial disparities in pretrial decision-making using misclassification models**|Kimberly A. Hochstedler Webb et.al.|[2309.08599v1](http://arxiv.org/abs/2309.08599v1)|null| -|**2023-09-14 18:03:30**|**iHAS: Instance-wise Hierarchical Architecture Search for Deep Learning Recommendation Models**|Yakun Yu et.al.|[2309.07967v1](http://arxiv.org/abs/2309.07967v1)|null| -|**2023-09-13 18:04:52**|**ESRO: Experience Assisted Service Reliability against Outages**|Sarthak Chakraborty et.al.|[2309.07230v1](http://arxiv.org/abs/2309.07230v1)|[link](https://github.com/sarthak-chakraborty/esro)| -|**2023-09-12 03:39:24**|**End-to-End Testing of Open-Source Hardware Documentation Developed in Large Collaborations**|Melinda Yuan et.al.|[2309.05942v1](http://arxiv.org/abs/2309.05942v1)|null| -|**2023-09-12 03:08:21**|**Workshop on a future muon program at FNAL**|S. Corrodi et.al.|[2309.05933v1](http://arxiv.org/abs/2309.05933v1)|null| -|**2023-09-12 00:34:02**|**Distributionally-Informed Recommender System Evaluation**|Michael D. Ekstrand et.al.|[2309.05892v1](http://arxiv.org/abs/2309.05892v1)|null| -|**2023-09-11 20:06:00**|**Enhancing Hyperedge Prediction with Context-Aware Self-Supervised Learning**|Yunyong Ko et.al.|[2309.05798v1](http://arxiv.org/abs/2309.05798v1)|[link](https://github.com/yy-ko/cash)| + 自动更新 @ 2023-10-23 16:08:55 Asia/Shanghai ## Multi Interest Recommendation ### Multi Interest |Publish Date|Title|Author|PDF|Code| | :---: | :---: | :---: | :---: | :---: | +|**2023-10-20 09:12:37**|**Towards Multi-Subsession Conversational Recommendation**|Yu Ji et.al.|[2310.13365v1](http://arxiv.org/abs/2310.13365v1)|null| |**2023-10-16 03:00:17**|**Dual-Scale Interest Extraction Framework with Self-Supervision for Sequential Recommendation**|Liangliang Chen et.al.|[2310.10025v1](http://arxiv.org/abs/2310.10025v1)|null| |**2023-10-14 14:29:52**|**Context-aware Session-based Recommendation with Graph Neural Networks**|Zhihui Zhang et.al.|[2310.09593v1](http://arxiv.org/abs/2310.09593v1)|[link](https://github.com/brilliantzhang/cares)| |**2023-10-02 02:53:49**|**Multi-Label Residual Weighted Learning for Individualized Combination Treatment Rule**|Qi Xu et.al.|[2310.00864v1](http://arxiv.org/abs/2310.00864v1)|null| @@ -53,7 +18,7 @@ |**2023-09-09 14:07:11**|**CPMR: Context-Aware Incremental Sequential Recommendation with Pseudo-Multi-Task Learning**|Qingtian Bian et.al.|[2309.04802v3](http://arxiv.org/abs/2309.04802v3)|[link](https://github.com/dimarziobian/cpmr)| |**2023-09-08 02:54:31**|**Sample-Efficient Co-Design of Robotic Agents Using Multi-fidelity Training on Universal Policy Network**|Kishan R. Nagiredla et.al.|[2309.04085v1](http://arxiv.org/abs/2309.04085v1)|null| |**2023-09-06 15:40:33**|**FArMARe: a Furniture-Aware Multi-task methodology for Recommending Apartments based on the user interests**|Ali Abdari et.al.|[2309.03100v1](http://arxiv.org/abs/2309.03100v1)|[link](https://github.com/aliabdari/farmare)| -|**2023-09-03 06:56:45**|**Multi-Relational Contrastive Learning for Recommendation**|Wei Wei et.al.|[2309.01103v2](http://arxiv.org/abs/2309.01103v2)|[link](https://github.com/HKUDS/RCL)| +|**2023-09-03 06:56:45**|**Multi-Relational Contrastive Learning for Recommendation**|Wei Wei et.al.|[2309.01103v3](http://arxiv.org/abs/2309.01103v3)|[link](https://github.com/HKUDS/RCL)| |**2023-08-30 07:53:27**|**DRGame: Diversified Recommendation for Multi-category Video Games with Balanced Implicit Preferences**|Kangzhe Liu et.al.|[2308.15823v1](http://arxiv.org/abs/2308.15823v1)|null| |**2023-08-30 01:54:48**|**A Survey on Multi-Behavior Sequential Recommendation**|Xiaoqing Chen et.al.|[2308.15701v1](http://arxiv.org/abs/2308.15701v1)|null| |**2023-08-28 03:15:37**|**Alleviating Video-Length Effect for Micro-video Recommendation**|Yuhan Quan et.al.|[2308.14276v2](http://arxiv.org/abs/2308.14276v2)|null| @@ -71,18 +36,27 @@ |**2023-07-05 14:06:45**|**Recommended Implementation of Quantitative Susceptibility Mapping for Clinical Research in The Brain: A Consensus of the ISMRM Electro-Magnetic Tissue Properties Study Group**|Berkin Bilgic et.al.|[2307.02306v1](http://arxiv.org/abs/2307.02306v1)|null| |**2023-06-24 15:00:47**|**A clustering and graph deep learning-based framework for COVID-19 drug repurposing**|Chaarvi Bansal et.al.|[2306.13995v1](http://arxiv.org/abs/2306.13995v1)|null| |**2023-06-16 05:46:27**|**M3PT: A Multi-Modal Model for POI Tagging**|Jingsong Yang et.al.|[2306.10079v1](http://arxiv.org/abs/2306.10079v1)|null| -|**2023-06-12 15:00:58**|**Interpolating Item and User Fairness in Recommendation Systems**|Qinyi Chen et.al.|[2306.10050v1](http://arxiv.org/abs/2306.10050v1)|null| ## Graph Neural Network ### GNN |Publish Date|Title|Author|PDF|Code| | :---: | :---: | :---: | :---: | :---: | +|**2023-10-20 15:33:23**|**ReLM: Leveraging Language Models for Enhanced Chemical Reaction Prediction**|Yaorui Shi et.al.|[2310.13590v1](http://arxiv.org/abs/2310.13590v1)|[link](https://github.com/syr-cn/relm)| +|**2023-10-20 15:23:17**|**SPARE: A Single-Pass Neural Model for Relational Databases**|Benjamin Hilprecht et.al.|[2310.13581v1](http://arxiv.org/abs/2310.13581v1)|null| +|**2023-10-20 10:38:28**|**Towards Enhancing Relational Rules for Knowledge Graph Link Prediction**|Shuhan Wu et.al.|[2310.13411v1](http://arxiv.org/abs/2310.13411v1)|null| +|**2023-10-20 03:13:10**|**TempGNN: Temporal Graph Neural Networks for Dynamic Session-Based Recommendations**|Eunkyu Oh et.al.|[2310.13249v1](http://arxiv.org/abs/2310.13249v1)|null| +|**2023-10-20 03:06:41**|**FLEE-GNN: A Federated Learning System for Edge-Enhanced Graph Neural Network in Analyzing Geospatial Resilience of Multicommodity Food Flows**|Yuxiao Qu et.al.|[2310.13248v1](http://arxiv.org/abs/2310.13248v1)|[link](https://github.com/geods/flee-gnn)| +|**2023-10-20 01:55:10**|**HierCas: Hierarchical Temporal Graph Attention Networks for Popularity Prediction in Information Cascades**|Zhizhen Zhang et.al.|[2310.13219v1](http://arxiv.org/abs/2310.13219v1)|null| +|**2023-10-19 23:04:09**|**Heterogeneous Graph Neural Networks for Data-driven Traffic Assignment**|Tong Liu et.al.|[2310.13193v1](http://arxiv.org/abs/2310.13193v1)|null| +|**2023-10-19 20:32:25**|**Graph Neural Networks with polynomial activations have limited expressivity**|Sammy Khalife et.al.|[2310.13139v1](http://arxiv.org/abs/2310.13139v1)|null| |**2023-10-19 14:55:51**|**Exploring Graph Neural Networks for Indian Legal Judgment Prediction**|Mann Khatri et.al.|[2310.12800v1](http://arxiv.org/abs/2310.12800v1)|null| +|**2023-10-19 14:49:35**|**Agri-GNN: A Novel Genotypic-Topological Graph Neural Network Framework Built on GraphSAGE for Optimized Yield Prediction**|Aditya Gupta et.al.|[2310.13037v1](http://arxiv.org/abs/2310.13037v1)|null| |**2023-10-19 08:41:21**|**Pretraining Language Models with Text-Attributed Heterogeneous Graphs**|Tao Zou et.al.|[2310.12580v1](http://arxiv.org/abs/2310.12580v1)|[link](https://github.com/hope-rita/thlm)| |**2023-10-19 08:18:10**|**Open-World Lifelong Graph Learning**|Marcel Hoffmann et.al.|[2310.12565v1](http://arxiv.org/abs/2310.12565v1)|[link](https://github.com/bobowner/open-world-lgl)| |**2023-10-19 08:07:22**|**DepWiGNN: A Depth-wise Graph Neural Network for Multi-hop Spatial Reasoning in Text**|Shuaiyi Li et.al.|[2310.12557v1](http://arxiv.org/abs/2310.12557v1)|[link](https://github.com/syon-li/depwignn)| |**2023-10-19 06:32:12**|**WeaveNet for Approximating Two-sided Matching Problems**|Shusaku Sone et.al.|[2310.12515v1](http://arxiv.org/abs/2310.12515v1)|null| +|**2023-10-19 06:17:46**|**GraphGPT: Graph Instruction Tuning for Large Language Models**|Jiabin Tang et.al.|[2310.13023v1](http://arxiv.org/abs/2310.13023v1)|[link](https://github.com/HKUDS/GraphGPT)| |**2023-10-19 04:30:14**|**MuseGNN: Interpretable and Convergent Graph Neural Network Layers at Scale**|Haitian Jiang et.al.|[2310.12457v1](http://arxiv.org/abs/2310.12457v1)|null| |**2023-10-19 01:41:11**|**Classification-Aided Robust Multiple Target Tracking Using Neural Enhanced Message Passing**|Xianglong Bai et.al.|[2310.12407v1](http://arxiv.org/abs/2310.12407v1)|null| |**2023-10-19 01:15:24**|**Cooperative Minibatching in Graph Neural Networks**|Muhammed Fatih Balin et.al.|[2310.12403v1](http://arxiv.org/abs/2310.12403v1)|null| @@ -94,17 +68,43 @@ |**2023-10-18 08:27:09**|**NeuroCUT: A Neural Approach for Robust Graph Partitioning**|Rishi Shah et.al.|[2310.11787v1](http://arxiv.org/abs/2310.11787v1)|null| |**2023-10-18 07:39:05**|**A Quasi-Wasserstein Loss for Learning Graph Neural Networks**|Minjie Cheng et.al.|[2310.11762v2](http://arxiv.org/abs/2310.11762v2)|null| |**2023-10-18 05:59:41**|**Federated Heterogeneous Graph Neural Network for Privacy-preserving Recommendation**|Bo Yan et.al.|[2310.11730v1](http://arxiv.org/abs/2310.11730v1)|null| -|**2023-10-18 04:54:32**|**Learning Co-Speech Gesture for Multimodal Aphasia Type Detection**|Daeun Lee et.al.|[2310.11710v1](http://arxiv.org/abs/2310.11710v1)|[link](https://github.com/dsail-skku/multimodal-aphasia-type-detection_emnlp_2023)| +|**2023-10-18 04:54:32**|**Learning Co-Speech Gesture for Multimodal Aphasia Type Detection**|Daeun Lee et.al.|[2310.11710v2](http://arxiv.org/abs/2310.11710v2)|[link](https://github.com/dsail-skku/multimodal-aphasia-type-detection_emnlp_2023)| |**2023-10-18 04:13:48**|**Architectural Implications of GNN Aggregation Programming Abstractions**|Yingjie Qi et.al.|[2310.12184v1](http://arxiv.org/abs/2310.12184v1)|null| |**2023-10-18 02:19:12**|**Hetero$^2$Net: Heterophily-aware Representation Learning on Heterogenerous Graphs**|Jintang Li et.al.|[2310.11664v1](http://arxiv.org/abs/2310.11664v1)|null| |**2023-10-17 20:20:38**|**RekomGNN: Visualizing, Contextualizing and Evaluating Graph Neural Networks Recommendations**|Camelia D. Brumar et.al.|[2310.11562v1](http://arxiv.org/abs/2310.11562v1)|null| -|**2023-10-17 17:25:31**|**VcT: Visual change Transformer for Remote Sensing Image Change Detection**|Bo Jiang et.al.|[2310.11417v1](http://arxiv.org/abs/2310.11417v1)|[link](https://github.com/event-ahu/vct_remote_sensing_change_detection)| -|**2023-10-17 15:40:26**|**Hybrid quantum-classical graph neural networks for tumor classification in digital pathology**|Anupama Ray et.al.|[2310.11353v1](http://arxiv.org/abs/2310.11353v1)|null| -|**2023-10-17 14:04:22**|**Self-supervision meets kernel graph neural models: From architecture to augmentations**|Jiawang Dan et.al.|[2310.11281v1](http://arxiv.org/abs/2310.11281v1)|null| -|**2023-10-17 13:42:32**|**Graph Neural Networks for Recommendation: Reproducibility, Graph Topology, and Node Representation**|Daniele Malitesta et.al.|[2310.11270v2](http://arxiv.org/abs/2310.11270v2)|null| -|**2023-10-17 11:28:30**|**Accurate prediction of international trade flows: Leveraging knowledge graphs and their embeddings**|Diego Rincon-Yanez et.al.|[2310.11161v1](http://arxiv.org/abs/2310.11161v1)|null| -|**2023-10-17 10:24:25**|**On the Temperature of Bayesian Graph Neural Networks for Conformal Prediction**|Seohyeon Cha et.al.|[2310.11479v1](http://arxiv.org/abs/2310.11479v1)|null| -|**2023-10-17 09:08:33**|**CSG: Curriculum Representation Learning for Signed Graph**|Zeyu Zhang et.al.|[2310.11083v1](http://arxiv.org/abs/2310.11083v1)|null| -|**2023-10-17 09:06:41**|**Multi-omics Sampling-based Graph Transformer for Synthetic Lethality Prediction**|Xusheng Zhao et.al.|[2310.11082v1](http://arxiv.org/abs/2310.11082v1)|null| -|**2023-10-17 07:25:59**|**Fast Graph Condensation with Structure-based Neural Tangent Kernel**|Lin Wang et.al.|[2310.11046v1](http://arxiv.org/abs/2310.11046v1)|null| -|**2023-10-17 07:18:03**|**Spoofing Attack Detection in the Physical Layer with Robustness to User Movement**|Daniel Romero et.al.|[2310.11043v1](http://arxiv.org/abs/2310.11043v1)|null| + +## Group Recommendation + +### Group +|Publish Date|Title|Author|PDF|Code| +| :---: | :---: | :---: | :---: | :---: | +|**2023-10-18 12:06:54**|**SHA-SCP: A UI Element Spatial Hierarchy Aware Smartphone User Click Behavior Prediction Method**|Ling Chen et.al.|[2310.11915v1](http://arxiv.org/abs/2310.11915v1)|null| +|**2023-10-17 13:39:26**|**Emulating Human Cognitive Processes for Expert-Level Medical Question-Answering with Large Language Models**|Khushboo Verma et.al.|[2310.11266v1](http://arxiv.org/abs/2310.11266v1)|null| +|**2023-10-17 07:02:26**|**Lyricist-Singer Entropy Affects Lyric-Lyricist Classification Performance**|Mitsuki Morita et.al.|[2310.11035v1](http://arxiv.org/abs/2310.11035v1)|null| +|**2023-10-15 13:18:31**|**VFLAIR: A Research Library and Benchmark for Vertical Federated Learning**|Tianyuan Zou et.al.|[2310.09827v1](http://arxiv.org/abs/2310.09827v1)|[link](https://github.com/flair-thu/vflair)| +|**2023-10-12 16:15:30**|**Metrics for popularity bias in dynamic recommender systems**|Valentijn Braun et.al.|[2310.08455v1](http://arxiv.org/abs/2310.08455v1)|null| +|**2023-10-10 16:23:41**|**Comparing AI Algorithms for Optimizing Elliptic Curve Cryptography Parameters in Third-Party E-Commerce Integrations: A Pre-Quantum Era Analysis**|Felipe Tellez et.al.|[2310.06752v1](http://arxiv.org/abs/2310.06752v1)|[link](https://github.com/cftellezc/GA_PSO_ECC_parameter_Optimization)| +|**2023-10-04 21:43:30**|**Sensitivity analysis for causality in observational studies for regulatory science**|Iván Díaz et.al.|[2310.03176v2](http://arxiv.org/abs/2310.03176v2)|null| +|**2023-10-04 21:42:01**|**Test Case Recommendations with Distributed Representation of Code Syntactic Features**|Mosab Rezaei et.al.|[2310.03174v1](http://arxiv.org/abs/2310.03174v1)|[link](https://github.com/mosabrezaei/test-case-recommendation)| +|**2023-10-04 16:54:03**|**Potential Factors Leading to Popularity Unfairness in Recommender Systems: A User-Centered Analysis**|Masoud Mansoury et.al.|[2310.02961v1](http://arxiv.org/abs/2310.02961v1)|null| +|**2023-10-04 08:35:54**|**Affirmative Action in India: Restricted Strategy Space, Complex Constraints, and Direct Mechanism Design**|Orhan Aygün et.al.|[2310.02660v1](http://arxiv.org/abs/2310.02660v1)|null| +|**2023-10-04 01:40:03**|**Who Audits the Auditors? Recommendations from a field scan of the algorithmic auditing ecosystem**|Sasha Costanza-Chock et.al.|[2310.02521v1](http://arxiv.org/abs/2310.02521v1)|null| +|**2023-10-03 18:35:08**|**Descriptive Discriminant Analysis of Multivariate Repeated Measures Data: A Use Case**|Ricarda Graf et.al.|[2310.02359v1](http://arxiv.org/abs/2310.02359v1)|null| +|**2023-10-02 21:18:57**|**Strategic Information Attacks on Incentive-Compatible Navigational Recommendations in Intelligent Transportation Systems**|Ya-Ting Yang et.al.|[2310.01646v1](http://arxiv.org/abs/2310.01646v1)|null| +|**2023-09-29 17:26:44**|**Networked Inequality: Preferential Attachment Bias in Graph Neural Network Link Prediction**|Arjun Subramonian et.al.|[2309.17417v1](http://arxiv.org/abs/2309.17417v1)|[link](https://github.com/arjunsubramonian/link_bias_amplification)| +|**2023-09-28 10:29:51**|**Multi-Granularity Click Confidence Learning via Self-Distillation in Recommendation**|Chong Liu et.al.|[2309.16322v1](http://arxiv.org/abs/2309.16322v1)|null| +|**2023-09-27 05:48:05**|**Automatic Feature Fairness in Recommendation via Adversaries**|Hengchang Hu et.al.|[2309.15418v1](http://arxiv.org/abs/2309.15418v1)|[link](https://github.com/holdenhu/advfm)| +|**2023-09-24 15:34:56**|**Survey of Social Bias in Vision-Language Models**|Nayeon Lee et.al.|[2309.14381v1](http://arxiv.org/abs/2309.14381v1)|null| +|**2023-09-23 07:38:56**|**Interactive Content Diversity and User Exploration in Online Movie Recommenders: A Field Experiment**|Ruixuan Sun et.al.|[2309.13296v1](http://arxiv.org/abs/2309.13296v1)|null| +|**2023-09-19 17:31:29**|**Towards affective computing that works for everyone**|Tessa Verhoef et.al.|[2309.10780v1](http://arxiv.org/abs/2309.10780v1)|null| +|**2023-09-19 15:04:55**|**Social Interactions Mediated by the Internet and the Big- Five: a Cross-Country Analysis**|Andrea Mercado et.al.|[2309.10681v1](http://arxiv.org/abs/2309.10681v1)|null| +|**2023-09-19 02:54:08**|**Towards Measuring Fairness in Grid Layout in Recommender Systems**|Amifa Raj et.al.|[2309.10271v1](http://arxiv.org/abs/2309.10271v1)|null| +|**2023-09-18 14:58:13**|**UNICON: A unified framework for behavior-based consumer segmentation in e-commerce**|Manuel Dibak et.al.|[2309.13068v1](http://arxiv.org/abs/2309.13068v1)|null| +|**2023-09-17 13:51:25**|**Fairness for All: Investigating Harms to Within-Group Individuals in Producer Fairness Re-ranking Optimization -- A Reproducibility Study**|Giovanni Pellegrini et.al.|[2309.09277v2](http://arxiv.org/abs/2309.09277v2)|null| +|**2023-09-15 17:56:33**|**An assessment of racial disparities in pretrial decision-making using misclassification models**|Kimberly A. Hochstedler Webb et.al.|[2309.08599v1](http://arxiv.org/abs/2309.08599v1)|null| +|**2023-09-14 18:03:30**|**iHAS: Instance-wise Hierarchical Architecture Search for Deep Learning Recommendation Models**|Yakun Yu et.al.|[2309.07967v1](http://arxiv.org/abs/2309.07967v1)|null| +|**2023-09-13 18:04:52**|**ESRO: Experience Assisted Service Reliability against Outages**|Sarthak Chakraborty et.al.|[2309.07230v1](http://arxiv.org/abs/2309.07230v1)|[link](https://github.com/sarthak-chakraborty/esro)| +|**2023-09-12 03:39:24**|**End-to-End Testing of Open-Source Hardware Documentation Developed in Large Collaborations**|Melinda Yuan et.al.|[2309.05942v1](http://arxiv.org/abs/2309.05942v1)|null| +|**2023-09-12 03:08:21**|**Workshop on a future muon program at FNAL**|S. Corrodi et.al.|[2309.05933v1](http://arxiv.org/abs/2309.05933v1)|null| +|**2023-09-12 00:34:02**|**Distributionally-Informed Recommender System Evaluation**|Michael D. Ekstrand et.al.|[2309.05892v1](http://arxiv.org/abs/2309.05892v1)|null| +|**2023-09-11 20:06:00**|**Enhancing Hyperedge Prediction with Context-Aware Self-Supervised Learning**|Yunyong Ko et.al.|[2309.05798v1](http://arxiv.org/abs/2309.05798v1)|[link](https://github.com/yy-ko/cash)| diff --git a/history/storage/storage_2023-10-23.md b/history/storage/storage_2023-10-23.md new file mode 100644 index 00000000..393644d9 --- /dev/null +++ b/history/storage/storage_2023-10-23.md @@ -0,0 +1,110 @@ +# arxiv-daily + 自动更新 @ 2023-10-23 16:08:55 Asia/Shanghai + +## Multi Interest Recommendation + +### Multi Interest +|Publish Date|Title|Author|PDF|Code| +| :---: | :---: | :---: | :---: | :---: | +|**2023-10-20 09:12:37**|**Towards Multi-Subsession Conversational Recommendation**|Yu Ji et.al.|[2310.13365v1](http://arxiv.org/abs/2310.13365v1)|null| +|**2023-10-16 03:00:17**|**Dual-Scale Interest Extraction Framework with Self-Supervision for Sequential Recommendation**|Liangliang Chen et.al.|[2310.10025v1](http://arxiv.org/abs/2310.10025v1)|null| +|**2023-10-14 14:29:52**|**Context-aware Session-based Recommendation with Graph Neural Networks**|Zhihui Zhang et.al.|[2310.09593v1](http://arxiv.org/abs/2310.09593v1)|[link](https://github.com/brilliantzhang/cares)| +|**2023-10-02 02:53:49**|**Multi-Label Residual Weighted Learning for Individualized Combination Treatment Rule**|Qi Xu et.al.|[2310.00864v1](http://arxiv.org/abs/2310.00864v1)|null| +|**2023-09-29 07:52:47**|**Beyond Co-occurrence: Multi-modal Session-based Recommendation**|Xiaokun Zhang et.al.|[2309.17037v1](http://arxiv.org/abs/2309.17037v1)|[link](https://github.com/zhang-xiaokun/mmsbr)| +|**2023-09-28 10:29:51**|**Multi-Granularity Click Confidence Learning via Self-Distillation in Recommendation**|Chong Liu et.al.|[2309.16322v1](http://arxiv.org/abs/2309.16322v1)|null| +|**2023-09-28 09:59:48**|**TaxAI: A Dynamic Economic Simulator and Benchmark for Multi-Agent Reinforcement Learning**|Qirui Mi et.al.|[2309.16307v1](http://arxiv.org/abs/2309.16307v1)|[link](https://github.com/jidiai/taxai)| +|**2023-09-21 12:39:36**|**Demystifying Visual Features of Movie Posters for Multi-Label Genre Identification**|Utsav Kumar Nareti et.al.|[2309.12022v1](http://arxiv.org/abs/2309.12022v1)|null| +|**2023-09-18 22:54:36**|**Multi-modality Meets Re-learning: Mitigating Negative Transfer in Sequential Recommendation**|Bo Peng et.al.|[2309.10195v2](http://arxiv.org/abs/2309.10195v2)|null| +|**2023-09-09 14:07:11**|**CPMR: Context-Aware Incremental Sequential Recommendation with Pseudo-Multi-Task Learning**|Qingtian Bian et.al.|[2309.04802v3](http://arxiv.org/abs/2309.04802v3)|[link](https://github.com/dimarziobian/cpmr)| +|**2023-09-08 02:54:31**|**Sample-Efficient Co-Design of Robotic Agents Using Multi-fidelity Training on Universal Policy Network**|Kishan R. Nagiredla et.al.|[2309.04085v1](http://arxiv.org/abs/2309.04085v1)|null| +|**2023-09-06 15:40:33**|**FArMARe: a Furniture-Aware Multi-task methodology for Recommending Apartments based on the user interests**|Ali Abdari et.al.|[2309.03100v1](http://arxiv.org/abs/2309.03100v1)|[link](https://github.com/aliabdari/farmare)| +|**2023-09-03 06:56:45**|**Multi-Relational Contrastive Learning for Recommendation**|Wei Wei et.al.|[2309.01103v3](http://arxiv.org/abs/2309.01103v3)|[link](https://github.com/HKUDS/RCL)| +|**2023-08-30 07:53:27**|**DRGame: Diversified Recommendation for Multi-category Video Games with Balanced Implicit Preferences**|Kangzhe Liu et.al.|[2308.15823v1](http://arxiv.org/abs/2308.15823v1)|null| +|**2023-08-30 01:54:48**|**A Survey on Multi-Behavior Sequential Recommendation**|Xiaoqing Chen et.al.|[2308.15701v1](http://arxiv.org/abs/2308.15701v1)|null| +|**2023-08-28 03:15:37**|**Alleviating Video-Length Effect for Micro-video Recommendation**|Yuhan Quan et.al.|[2308.14276v2](http://arxiv.org/abs/2308.14276v2)|null| +|**2023-08-25 08:54:27**|**Learning and Optimization of Implicit Negative Feedback for Industrial Short-video Recommender System**|Yunzhu Pan et.al.|[2308.13249v1](http://arxiv.org/abs/2308.13249v1)|null| +|**2023-08-22 04:06:56**|**MISSRec: Pre-training and Transferring Multi-modal Interest-aware Sequence Representation for Recommendation**|Jinpeng Wang et.al.|[2308.11175v1](http://arxiv.org/abs/2308.11175v1)|null| +|**2023-08-19 09:47:22**|**Time-aligned Exposure-enhanced Model for Click-Through Rate Prediction**|Hengyu Zhang et.al.|[2308.09966v1](http://arxiv.org/abs/2308.09966v1)|null| +|**2023-08-14 07:35:14**|**Discrete Conditional Diffusion for Reranking in Recommendation**|Xiao Lin et.al.|[2308.06982v1](http://arxiv.org/abs/2308.06982v1)|null| +|**2023-08-11 08:04:43**|**Deep Task-specific Bottom Representation Network for Multi-Task Recommendation**|Qi Liu et.al.|[2308.05996v2](http://arxiv.org/abs/2308.05996v2)|null| +|**2023-08-08 06:58:05**|**Understanding and Modeling Passive-Negative Feedback for Short-video Sequential Recommendation**|Yunzhu Pan et.al.|[2308.04086v1](http://arxiv.org/abs/2308.04086v1)|[link](https://github.com/tsinghua-fib-lab/RecSys2023-SINE)| +|**2023-08-08 03:24:44**|**Multi-Granularity Attention Model for Group Recommendation**|Jianye Ji et.al.|[2308.04017v1](http://arxiv.org/abs/2308.04017v1)|null| +|**2023-08-03 07:06:35**|**Density Weighting for Multi-Interest Personalized Recommendation**|Nikhil Mehta et.al.|[2308.01563v1](http://arxiv.org/abs/2308.01563v1)|null| +|**2023-07-29 05:46:27**|**Online Matching: A Real-time Bandit System for Large-scale Recommendations**|Xinyang Yi et.al.|[2307.15893v1](http://arxiv.org/abs/2307.15893v1)|null| +|**2023-07-20 02:48:04**|**TREA: Tree-Structure Reasoning Schema for Conversational Recommendation**|Wendi Li et.al.|[2307.10543v1](http://arxiv.org/abs/2307.10543v1)|[link](https://github.com/windylee0822/trea)| +|**2023-07-16 00:43:54**|**MESOB: Balancing Equilibria & Social Optimality**|Xin Guo et.al.|[2307.07911v1](http://arxiv.org/abs/2307.07911v1)|null| +|**2023-07-05 14:06:45**|**Recommended Implementation of Quantitative Susceptibility Mapping for Clinical Research in The Brain: A Consensus of the ISMRM Electro-Magnetic Tissue Properties Study Group**|Berkin Bilgic et.al.|[2307.02306v1](http://arxiv.org/abs/2307.02306v1)|null| +|**2023-06-24 15:00:47**|**A clustering and graph deep learning-based framework for COVID-19 drug repurposing**|Chaarvi Bansal et.al.|[2306.13995v1](http://arxiv.org/abs/2306.13995v1)|null| +|**2023-06-16 05:46:27**|**M3PT: A Multi-Modal Model for POI Tagging**|Jingsong Yang et.al.|[2306.10079v1](http://arxiv.org/abs/2306.10079v1)|null| + +## Graph Neural Network + +### GNN +|Publish Date|Title|Author|PDF|Code| +| :---: | :---: | :---: | :---: | :---: | +|**2023-10-20 15:33:23**|**ReLM: Leveraging Language Models for Enhanced Chemical Reaction Prediction**|Yaorui Shi et.al.|[2310.13590v1](http://arxiv.org/abs/2310.13590v1)|[link](https://github.com/syr-cn/relm)| +|**2023-10-20 15:23:17**|**SPARE: A Single-Pass Neural Model for Relational Databases**|Benjamin Hilprecht et.al.|[2310.13581v1](http://arxiv.org/abs/2310.13581v1)|null| +|**2023-10-20 10:38:28**|**Towards Enhancing Relational Rules for Knowledge Graph Link Prediction**|Shuhan Wu et.al.|[2310.13411v1](http://arxiv.org/abs/2310.13411v1)|null| +|**2023-10-20 03:13:10**|**TempGNN: Temporal Graph Neural Networks for Dynamic Session-Based Recommendations**|Eunkyu Oh et.al.|[2310.13249v1](http://arxiv.org/abs/2310.13249v1)|null| +|**2023-10-20 03:06:41**|**FLEE-GNN: A Federated Learning System for Edge-Enhanced Graph Neural Network in Analyzing Geospatial Resilience of Multicommodity Food Flows**|Yuxiao Qu et.al.|[2310.13248v1](http://arxiv.org/abs/2310.13248v1)|[link](https://github.com/geods/flee-gnn)| +|**2023-10-20 01:55:10**|**HierCas: Hierarchical Temporal Graph Attention Networks for Popularity Prediction in Information Cascades**|Zhizhen Zhang et.al.|[2310.13219v1](http://arxiv.org/abs/2310.13219v1)|null| +|**2023-10-19 23:04:09**|**Heterogeneous Graph Neural Networks for Data-driven Traffic Assignment**|Tong Liu et.al.|[2310.13193v1](http://arxiv.org/abs/2310.13193v1)|null| +|**2023-10-19 20:32:25**|**Graph Neural Networks with polynomial activations have limited expressivity**|Sammy Khalife et.al.|[2310.13139v1](http://arxiv.org/abs/2310.13139v1)|null| +|**2023-10-19 14:55:51**|**Exploring Graph Neural Networks for Indian Legal Judgment Prediction**|Mann Khatri et.al.|[2310.12800v1](http://arxiv.org/abs/2310.12800v1)|null| +|**2023-10-19 14:49:35**|**Agri-GNN: A Novel Genotypic-Topological Graph Neural Network Framework Built on GraphSAGE for Optimized Yield Prediction**|Aditya Gupta et.al.|[2310.13037v1](http://arxiv.org/abs/2310.13037v1)|null| +|**2023-10-19 08:41:21**|**Pretraining Language Models with Text-Attributed Heterogeneous Graphs**|Tao Zou et.al.|[2310.12580v1](http://arxiv.org/abs/2310.12580v1)|[link](https://github.com/hope-rita/thlm)| +|**2023-10-19 08:18:10**|**Open-World Lifelong Graph Learning**|Marcel Hoffmann et.al.|[2310.12565v1](http://arxiv.org/abs/2310.12565v1)|[link](https://github.com/bobowner/open-world-lgl)| +|**2023-10-19 08:07:22**|**DepWiGNN: A Depth-wise Graph Neural Network for Multi-hop Spatial Reasoning in Text**|Shuaiyi Li et.al.|[2310.12557v1](http://arxiv.org/abs/2310.12557v1)|[link](https://github.com/syon-li/depwignn)| +|**2023-10-19 06:32:12**|**WeaveNet for Approximating Two-sided Matching Problems**|Shusaku Sone et.al.|[2310.12515v1](http://arxiv.org/abs/2310.12515v1)|null| +|**2023-10-19 06:17:46**|**GraphGPT: Graph Instruction Tuning for Large Language Models**|Jiabin Tang et.al.|[2310.13023v1](http://arxiv.org/abs/2310.13023v1)|[link](https://github.com/HKUDS/GraphGPT)| +|**2023-10-19 04:30:14**|**MuseGNN: Interpretable and Convergent Graph Neural Network Layers at Scale**|Haitian Jiang et.al.|[2310.12457v1](http://arxiv.org/abs/2310.12457v1)|null| +|**2023-10-19 01:41:11**|**Classification-Aided Robust Multiple Target Tracking Using Neural Enhanced Message Passing**|Xianglong Bai et.al.|[2310.12407v1](http://arxiv.org/abs/2310.12407v1)|null| +|**2023-10-19 01:15:24**|**Cooperative Minibatching in Graph Neural Networks**|Muhammed Fatih Balin et.al.|[2310.12403v1](http://arxiv.org/abs/2310.12403v1)|null| +|**2023-10-18 21:51:42**|**Equipping Federated Graph Neural Networks with Structure-aware Group Fairness**|Nan Cui et.al.|[2310.12350v1](http://arxiv.org/abs/2310.12350v1)|[link](https://github.com/yuening-lab/f2gnn)| +|**2023-10-18 21:22:48**|**Parisi's hypercube, Fock-space fluxes, and the microscopics of near-AdS$_2$/near-CFT$_1$ duality**|Micha Berkooz et.al.|[2310.12335v1](http://arxiv.org/abs/2310.12335v1)|null| +|**2023-10-18 11:16:32**|**Building a Graph-based Deep Learning network model from captured traffic traces**|Carlos Güemes-Palau et.al.|[2310.11889v1](http://arxiv.org/abs/2310.11889v1)|null| +|**2023-10-18 09:31:21**|**Towards Graph Foundation Models: A Survey and Beyond**|Jiawei Liu et.al.|[2310.11829v1](http://arxiv.org/abs/2310.11829v1)|null| +|**2023-10-18 09:21:37**|**IntentDial: An Intent Graph based Multi-Turn Dialogue System with Reasoning Path Visualization**|Zengguang Hao et.al.|[2310.11818v1](http://arxiv.org/abs/2310.11818v1)|null| +|**2023-10-18 08:27:09**|**NeuroCUT: A Neural Approach for Robust Graph Partitioning**|Rishi Shah et.al.|[2310.11787v1](http://arxiv.org/abs/2310.11787v1)|null| +|**2023-10-18 07:39:05**|**A Quasi-Wasserstein Loss for Learning Graph Neural Networks**|Minjie Cheng et.al.|[2310.11762v2](http://arxiv.org/abs/2310.11762v2)|null| +|**2023-10-18 05:59:41**|**Federated Heterogeneous Graph Neural Network for Privacy-preserving Recommendation**|Bo Yan et.al.|[2310.11730v1](http://arxiv.org/abs/2310.11730v1)|null| +|**2023-10-18 04:54:32**|**Learning Co-Speech Gesture for Multimodal Aphasia Type Detection**|Daeun Lee et.al.|[2310.11710v2](http://arxiv.org/abs/2310.11710v2)|[link](https://github.com/dsail-skku/multimodal-aphasia-type-detection_emnlp_2023)| +|**2023-10-18 04:13:48**|**Architectural Implications of GNN Aggregation Programming Abstractions**|Yingjie Qi et.al.|[2310.12184v1](http://arxiv.org/abs/2310.12184v1)|null| +|**2023-10-18 02:19:12**|**Hetero$^2$Net: Heterophily-aware Representation Learning on Heterogenerous Graphs**|Jintang Li et.al.|[2310.11664v1](http://arxiv.org/abs/2310.11664v1)|null| +|**2023-10-17 20:20:38**|**RekomGNN: Visualizing, Contextualizing and Evaluating Graph Neural Networks Recommendations**|Camelia D. Brumar et.al.|[2310.11562v1](http://arxiv.org/abs/2310.11562v1)|null| + +## Group Recommendation + +### Group +|Publish Date|Title|Author|PDF|Code| +| :---: | :---: | :---: | :---: | :---: | +|**2023-10-18 12:06:54**|**SHA-SCP: A UI Element Spatial Hierarchy Aware Smartphone User Click Behavior Prediction Method**|Ling Chen et.al.|[2310.11915v1](http://arxiv.org/abs/2310.11915v1)|null| +|**2023-10-17 13:39:26**|**Emulating Human Cognitive Processes for Expert-Level Medical Question-Answering with Large Language Models**|Khushboo Verma et.al.|[2310.11266v1](http://arxiv.org/abs/2310.11266v1)|null| +|**2023-10-17 07:02:26**|**Lyricist-Singer Entropy Affects Lyric-Lyricist Classification Performance**|Mitsuki Morita et.al.|[2310.11035v1](http://arxiv.org/abs/2310.11035v1)|null| +|**2023-10-15 13:18:31**|**VFLAIR: A Research Library and Benchmark for Vertical Federated Learning**|Tianyuan Zou et.al.|[2310.09827v1](http://arxiv.org/abs/2310.09827v1)|[link](https://github.com/flair-thu/vflair)| +|**2023-10-12 16:15:30**|**Metrics for popularity bias in dynamic recommender systems**|Valentijn Braun et.al.|[2310.08455v1](http://arxiv.org/abs/2310.08455v1)|null| +|**2023-10-10 16:23:41**|**Comparing AI Algorithms for Optimizing Elliptic Curve Cryptography Parameters in Third-Party E-Commerce Integrations: A Pre-Quantum Era Analysis**|Felipe Tellez et.al.|[2310.06752v1](http://arxiv.org/abs/2310.06752v1)|[link](https://github.com/cftellezc/GA_PSO_ECC_parameter_Optimization)| +|**2023-10-04 21:43:30**|**Sensitivity analysis for causality in observational studies for regulatory science**|Iván Díaz et.al.|[2310.03176v2](http://arxiv.org/abs/2310.03176v2)|null| +|**2023-10-04 21:42:01**|**Test Case Recommendations with Distributed Representation of Code Syntactic Features**|Mosab Rezaei et.al.|[2310.03174v1](http://arxiv.org/abs/2310.03174v1)|[link](https://github.com/mosabrezaei/test-case-recommendation)| +|**2023-10-04 16:54:03**|**Potential Factors Leading to Popularity Unfairness in Recommender Systems: A User-Centered Analysis**|Masoud Mansoury et.al.|[2310.02961v1](http://arxiv.org/abs/2310.02961v1)|null| +|**2023-10-04 08:35:54**|**Affirmative Action in India: Restricted Strategy Space, Complex Constraints, and Direct Mechanism Design**|Orhan Aygün et.al.|[2310.02660v1](http://arxiv.org/abs/2310.02660v1)|null| +|**2023-10-04 01:40:03**|**Who Audits the Auditors? Recommendations from a field scan of the algorithmic auditing ecosystem**|Sasha Costanza-Chock et.al.|[2310.02521v1](http://arxiv.org/abs/2310.02521v1)|null| +|**2023-10-03 18:35:08**|**Descriptive Discriminant Analysis of Multivariate Repeated Measures Data: A Use Case**|Ricarda Graf et.al.|[2310.02359v1](http://arxiv.org/abs/2310.02359v1)|null| +|**2023-10-02 21:18:57**|**Strategic Information Attacks on Incentive-Compatible Navigational Recommendations in Intelligent Transportation Systems**|Ya-Ting Yang et.al.|[2310.01646v1](http://arxiv.org/abs/2310.01646v1)|null| +|**2023-09-29 17:26:44**|**Networked Inequality: Preferential Attachment Bias in Graph Neural Network Link Prediction**|Arjun Subramonian et.al.|[2309.17417v1](http://arxiv.org/abs/2309.17417v1)|[link](https://github.com/arjunsubramonian/link_bias_amplification)| +|**2023-09-28 10:29:51**|**Multi-Granularity Click Confidence Learning via Self-Distillation in Recommendation**|Chong Liu et.al.|[2309.16322v1](http://arxiv.org/abs/2309.16322v1)|null| +|**2023-09-27 05:48:05**|**Automatic Feature Fairness in Recommendation via Adversaries**|Hengchang Hu et.al.|[2309.15418v1](http://arxiv.org/abs/2309.15418v1)|[link](https://github.com/holdenhu/advfm)| +|**2023-09-24 15:34:56**|**Survey of Social Bias in Vision-Language Models**|Nayeon Lee et.al.|[2309.14381v1](http://arxiv.org/abs/2309.14381v1)|null| +|**2023-09-23 07:38:56**|**Interactive Content Diversity and User Exploration in Online Movie Recommenders: A Field Experiment**|Ruixuan Sun et.al.|[2309.13296v1](http://arxiv.org/abs/2309.13296v1)|null| +|**2023-09-19 17:31:29**|**Towards affective computing that works for everyone**|Tessa Verhoef et.al.|[2309.10780v1](http://arxiv.org/abs/2309.10780v1)|null| +|**2023-09-19 15:04:55**|**Social Interactions Mediated by the Internet and the Big- Five: a Cross-Country Analysis**|Andrea Mercado et.al.|[2309.10681v1](http://arxiv.org/abs/2309.10681v1)|null| +|**2023-09-19 02:54:08**|**Towards Measuring Fairness in Grid Layout in Recommender Systems**|Amifa Raj et.al.|[2309.10271v1](http://arxiv.org/abs/2309.10271v1)|null| +|**2023-09-18 14:58:13**|**UNICON: A unified framework for behavior-based consumer segmentation in e-commerce**|Manuel Dibak et.al.|[2309.13068v1](http://arxiv.org/abs/2309.13068v1)|null| +|**2023-09-17 13:51:25**|**Fairness for All: Investigating Harms to Within-Group Individuals in Producer Fairness Re-ranking Optimization -- A Reproducibility Study**|Giovanni Pellegrini et.al.|[2309.09277v2](http://arxiv.org/abs/2309.09277v2)|null| +|**2023-09-15 17:56:33**|**An assessment of racial disparities in pretrial decision-making using misclassification models**|Kimberly A. Hochstedler Webb et.al.|[2309.08599v1](http://arxiv.org/abs/2309.08599v1)|null| +|**2023-09-14 18:03:30**|**iHAS: Instance-wise Hierarchical Architecture Search for Deep Learning Recommendation Models**|Yakun Yu et.al.|[2309.07967v1](http://arxiv.org/abs/2309.07967v1)|null| +|**2023-09-13 18:04:52**|**ESRO: Experience Assisted Service Reliability against Outages**|Sarthak Chakraborty et.al.|[2309.07230v1](http://arxiv.org/abs/2309.07230v1)|[link](https://github.com/sarthak-chakraborty/esro)| +|**2023-09-12 03:39:24**|**End-to-End Testing of Open-Source Hardware Documentation Developed in Large Collaborations**|Melinda Yuan et.al.|[2309.05942v1](http://arxiv.org/abs/2309.05942v1)|null| +|**2023-09-12 03:08:21**|**Workshop on a future muon program at FNAL**|S. Corrodi et.al.|[2309.05933v1](http://arxiv.org/abs/2309.05933v1)|null| +|**2023-09-12 00:34:02**|**Distributionally-Informed Recommender System Evaluation**|Michael D. Ekstrand et.al.|[2309.05892v1](http://arxiv.org/abs/2309.05892v1)|null| +|**2023-09-11 20:06:00**|**Enhancing Hyperedge Prediction with Context-Aware Self-Supervised Learning**|Yunyong Ko et.al.|[2309.05798v1](http://arxiv.org/abs/2309.05798v1)|[link](https://github.com/yy-ko/cash)|