Implementation of the spatialGAT in the paper: Spatial Attention Based Grid Representation Learning for Predicting Origin–Destination Flow (IEEE Big Data 2022)
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Updated
Aug 5, 2024 - Python
Implementation of the spatialGAT in the paper: Spatial Attention Based Grid Representation Learning for Predicting Origin–Destination Flow (IEEE Big Data 2022)
[KDD'2024] "UrbanGPT: Spatio-Temporal Large Language Models"
A collection of research on spatio-temporal data mining
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.
Official repository for the paper "Back to the Future: GNN-based NO2 Forecasting via Future Covariates" accepted for publication at the IEEE IGARSS 2024
[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"
[ICML'2024] "FlashST: A Simple and Universal Prompt-Tuning Framework for Traffic Prediction"
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"
This project is a collection of recent research in areas such as new infrastructure and urban computing, including white papers, academic papers, AI lab and dataset etc.
Source codes of CIKM2022 Full Paper "Domain Adversarial Spatial-Temporal Network: A Transferable Framework for Short-term Traffic Forecasting across Cities"
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