[KDD'2024] "UrbanGPT: Spatio-Temporal Large Language Models"

[EMNLP 2024 Industry Track & KDD UrbComp 2024 Best Paper Award] ITINERA: Integrating Spatial Optimization with Large Language Models for Open-domain Urban Itinerary Planning

Implementation of the HiUrNet in the paper: Explainable Hierarchical Urban Representation Learning for Commuting Flow Prediction (ACM SIGSPATIAL 2024)

[CIKM'2024] "EasyST: A Simple Framework for Spatio-Temporal Prediction"

Official repository for the paper "Back to the Future: GNN-based NO2 Forecasting via Future Covariates" , IGARSS 2024

[ICML'2024] "FlashST: A Simple and Universal Prompt-Tuning Framework for Traffic Prediction"

"OpenCity: Open Spatio-Temporal Foundation Models for Traffic Prediction"

A collection of research on spatio-temporal data mining

Implementation of the spatialGAT in the paper: Spatial Attention Based Grid Representation Learning for Predicting Origin–Destination Flow (IEEE Big Data 2022)

A professional list on Multi-modal Data Fusion Models and Key Datasets for Urban Computing.

A professional list on Multi-modal Data Fusion Models and Key Datasets for Urban Computing.

[ICML'2023] "GraphST: Spatial-Temporal Graph Learning with Adversarial Contrastive Adaptation"

OpenAI-gym-like Reinforcement Learning environment for Dispatching of Mobile Chargers with SUMO. Compatible with Gym and popular RL libraries such as stable-baselines3.

[CIKM'2023] "CL4ST: Spatio-Temporal Meta Contrastive Learning"

[NeurIPS'2023] "GPT-ST: Generative Pre-Training of Spatio-Temporal Graph Neural Networks"

Repository for ''Contextualizing MLP-Mixers Spatiotemporally for Urban Data Forecast at Scale''

[ICDE'2023] When Spatio-Temporal Meet Wavelets: Disentangled Traffic Forecasting via Efficient Spectral Graph Attention Networks

STCF: Spatial-Temporal Contrasting for Fine-Grained Urban Flow inference. IEEE Transactions on Big Data, 2023.

[WWW'2023] "AutoST: Automated Spatio-Temporal Graph Contrastive Learning"