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    32 repositories

    • graph-constrained-reasoning

      Public
      Official Implementation of "Graph-constrained Reasoning: Faithful Reasoning on Knowledge Graphs with Large Language Models".
      Python
      •
      MIT License
      •8•1•0•0•Updated Oct 18, 2024Oct 18, 2024

    • SIGNET

      Public
      [NeurIPS'23] Towards Self-Interpretable Graph-Level Anomaly Detection
      Python
      •
      MIT License
      •2•0•0•0•Updated Jul 18, 2024Jul 18, 2024

    • reasoning-on-graphs

      Public
      Official Implementation of "Reasoning on Graphs: Faithful and Interpretable Large Language Model Reasoning"
      Python
      •
      MIT License
      •41•1•0•0•Updated Jun 5, 2024Jun 5, 2024

    • PSICHIC

      Public
      PSICHIC (pronounced Psychic) - PhySIcoCHemICal graph neural network for learning protein-ligand interaction fingerprints from sequence data
      Jupyter Notebook
      •
      Apache License 2.0
      •11•3•0•0•Updated Apr 1, 2024Apr 1, 2024

    • Awesome-Graph-Neural-Networks

      Public
      Paper Lists for Graph Neural Networks
      deep-learningconvolutional-networksgraph-attentiongraph-networkgenerated-graphsgraph-auto-encoder
      387•2.2k•2•5•Updated Dec 29, 2023Dec 29, 2023

    • Awesome-TimeSeries-SpatioTemporal-LM-LLM

      Public
      A professional list on Large (Language) Models and Foundation Models (LLM, LM, FM) for Time Series, Spatiotemporal, and Event Data.
      68•5•0•0•Updated Oct 23, 2023Oct 23, 2023

    • Awesome-GNN4TS

      Public
      Awesome resources related to GNNs for Time Series Analysis (GNN4TS) 🔥 https://arxiv.org/abs/2307.03759
      52•3•0•0•Updated Oct 18, 2023Oct 18, 2023

    • Awesome-TKGC

      Public
      MIT License
      •11•0•0•0•Updated Jul 29, 2023Jul 29, 2023

    • RawNP

      Public
      Official code for RawNP (ECML-PKDD 2023)
      Python
      •1•1•0•0•Updated Jul 6, 2023Jul 6, 2023

    • Awesome-LLM-KG

      Public
      Awesome papers about unifying LLMs and KGs
      153•3•0•0•Updated Jun 17, 2023Jun 17, 2023

    • G-OOD-D

      Public
      A PyTorch implementation of "GOOD-D: On Unsupervised Graph Out-Of-Distribution Detection", WSDM-23
      Python
      •
      MIT License
      •5•0•0•0•Updated Mar 2, 2023Mar 2, 2023

    • MR-GNAS

      Public
      Pytorch implementation of ICDM'22 "Multi-Relational Graph Neural Architecture Search with Fine-grained Message Passing"
      Python
      •
      MIT License
      •2•5•0•1•Updated Feb 13, 2023Feb 13, 2023

    • Auto-HeG

      Public
      Pytorch implementation of WWW'23:"Auto-HeG: Automated Graph Neural Network on Heterophilic Graphs"
      Python
      •
      MIT License
      •1•0•0•0•Updated Feb 12, 2023Feb 12, 2023

    • SUBLIME

      Public
      [WWW'22] Towards Unsupervised Deep Graph Structure Learning
      Python
      •
      MIT License
      •25•129•4•0•Updated Nov 30, 2022Nov 30, 2022

    • GREET

      Public
      A PyTorch implementation of "Beyond Smoothing: Unsupervised Graph Representation Learning with Edge Heterophily Discriminating", AAAI-23
      Python
      •
      MIT License
      •4•1•0•0•Updated Nov 23, 2022Nov 23, 2022

    • Neural-Temporal-Walks

      Public
      [NIPS 2022] The official PyTorch implementation of "Neural Temporal Walks: Motif-Aware Representation Learning on Continuous-Time Dynamic Graphs"
      Python
      •
      MIT License
      •10•1•0•0•Updated Nov 23, 2022Nov 23, 2022

    • Graph-Group-Discrimination

      Public
      Code for NeurIPS 2022 paper "Rethinking and Scaling Up Graph Contrastive Learning: An Extremely Efficient Approach with Group Discrimination"
      Python
      •5•0•0•0•Updated Nov 18, 2022Nov 18, 2022

    • GSNOP

      Public
      Official code implementation for WSDM 23 paper Graph Sequential Neural ODE Process for Link Prediction on Dynamic and Sparse Graphs.
      Python
      •2•5•0•0•Updated Nov 15, 2022Nov 15, 2022

    • MTGODE

      Public
      [TKDE 2022] The official PyTorch implementation of the paper "Multivariate Time Series Forecasting with Dynamic Graph Neural ODEs".
      time-seriestime-series-forecastingspatial-temporal-forecastingspatial-temporal-dataneural-odesgraph-neural-networks
      Python
      •
      MIT License
      •23•72•0•0•Updated Nov 10, 2022Nov 10, 2022

    • graph-deep-learning

      Public
      This repository summarises the open source codes of our group
      MIT License
      •8•27•0•0•Updated Nov 3, 2022Nov 3, 2022

    • MERIT

      Public
      [IJCAI 2021] A PyTorch implementation of "Multi-Scale Contrastive Siamese Networks for Self-Supervised Graph Representation Learning".
      graph-representation-learninggraph-self-supervised-learningself-supervised-distillationgraph-neural-networks
      Python
      •
      MIT License
      •8•39•2•0•Updated Oct 13, 2022Oct 13, 2022

    • UGCL

      Public
      The open source code for ICDM2022 paper "Unifying Graph Contrastive Learning with Flexible Contextual Scopes"
      Python
      •1•0•0•0•Updated Oct 3, 2022Oct 3, 2022

    • BANE

      Public
      BANE: Binarized Attributed Network Embedding - ICDM2018
      network-embedding
      MATLAB
      •1•2•1•0•Updated Feb 28, 2022Feb 28, 2022

    • MGAE

      Public
      Implementation of the CIKM-17 paper “MGAE: Marginalized Graph Autoencoder for Graph Clustering”
      MATLAB
      •6•28•1•0•Updated Feb 28, 2022Feb 28, 2022

    • graph_datasets

      Public
      A Repository of Benchmark Graph Datasets for Graph Classification (31 Graph Datasets In Total).
      graphsgraph-databasegraph-datasetgraph-classification
      74•283•3•0•Updated Feb 28, 2022Feb 28, 2022

    • MTG

      Public
      Joint Structure Feature Exploration and Regularization for Multi-Task Graph Classification
      Java
      •9•3•0•0•Updated Feb 28, 2022Feb 28, 2022

    • ARGA

      Public
      This is a TensorFlow implementation of the Adversarially Regularized Graph Autoencoder(ARGA) model as described in our paper: Pan, S., Hu, R., Long, G., Jiang, J., Yao, L., & Zhang, C. (2018). Adversarially Regularized Graph Autoencoder for Graph Embedding, [https://www.ijcai.org/proceedings/2018/0362.pdf].
      Python
      •
      MIT License
      •58•185•13•1•Updated Feb 28, 2022Feb 28, 2022

    • TriDNR

      Public
      Tri-Party Deep Network Representation, IJCAI-16
      graphnetwork-embeddinggraph-embedding
      Python
      •36•72•2•1•Updated Feb 28, 2022Feb 28, 2022

    • ANEMONE

      Public
      [CIKM 2021] A PyTorch implementation of "ANEMONE: Graph Anomaly Detection with Multi-Scale Contrastive Learning".
      self-supervised-learninganomaly-detectionnanomaly-detection-algorithmgraph-anomaly-detectiongraph-neural-networks
      Python
      •
      MIT License
      •12•45•1•0•Updated Sep 9, 2021Sep 9, 2021

    • UDAGCN

      Public
      Python implementation of "Unsupervised Domain Adaptive Graph Convolutional Networks", WWW-20.
      domain-adaptationgraph-neural-networks
      Python
      •
      MIT License
      •20•55•5•0•Updated May 13, 2021May 13, 2021