Awesome Location Embedding

🌟A collection of papers, datasets, benchmarks, code, and pre-trained weights for Location Embedding Models.

📢 Latest Updates

• 2024.9.19: Initiate project.

Location Embedding

Abbreviation	Title	Publication	Paper	Modality (Coverage)	Methodology	Downstram Tasks	Code & Weights
Place2Vec	From ITDL to Place2Vec – Reasoning About Place Type Similarity and Relatedness by Learning Embeddings From Augmented Spatial Contexts	ACM SIGSPATIAL 2017		POI (location + type)
Loc2Vec	Loc2Vec:Learning location embeddings with triplet-loss networks	Blog2018		location
Space2Vec	MULTI-SCALE REPRESENTATION LEARNING FOR SPATIAL FEATURE DISTRIBUTIONS USING GRID CELLS	ICLR2020		location
GPS2Vec	GPS2Vec: Pre-Trained Semantic Embeddings for Worldwide GPS Coordinates	IEEE TMM2021		Geo-tagged image / Check-ins / Tweets + location
GPS2Vec+	Learning Multi-context Aware Location Representations from Large-scale Geotagged Images	ACMMM2021		Geo-tagged image + location
Geo-SSL	Geography-Aware Self-Supervised Learning	ICCV2021		Satellite image + location (as supervision signal)
	Pre-Training Time-Aware Location Embeddings from Spatial-Temporal Trajectories	TKDE2022
	Pre-training Contextual Location Embeddings in Personal Trajectories via Efficient Hierarchical Location Representations	ECML PKDD2023
MGeo	MGeo: Multi-Modal Geographic Language Model Pre-Training	SIGIR2023
Sphere2Vec	Sphere2Vec: Multi-Scale Representation Learning over a Spherical Surface for Geospatial Predictions	ISPRS2023		Geo-tagged image + location
CSP	CSP: Self-Supervised Contrastive Spatial Pre-Training for Geospatial-Visual Representations	ICML2023		Satellite image / Geo-tagged image + location
GeoCLIP	GeoCLIP: Clip-Inspired Alignment between Locations and Images for Effective Worldwide Geo-localization	NIPS2023		Geo-tagged image + location
SatCLIP	SatCLIP: Global, General-Purpose Location Embeddings with Satellite Imagery	arxiv2023		Satellite image + location
GeoLLM	GEOLLM: EXTRACTING GEOSPATIAL KNOWLEDGE FROM LARGE LANGUAGE MODELS	ICLR2024
LLMGeovec	Geolocation Representation from Large Language Models are Generic Enhancers for Spatio-Temporal Learning	arxiv2024		location+OSM data (addresses,nearby places)

Related Links

Awesome-Spatio-Temporal-Representation-Learning: Summary of Spatio-Temporal Representation Learning Models

Awesome-Multimodal-Urban-Computing