[KDD'2024] "UrbanGPT: Spatio-Temporal Large Language Models"
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Updated
Jul 26, 2024 - Python
[KDD'2024] "UrbanGPT: Spatio-Temporal Large Language Models"
A real-world dataset for EV-related research, e.g., spatiotemporal prediction and urban energy management.
tsl: a PyTorch library for processing spatiotemporal data.
LibCity: An Open Library for Urban Spatial-temporal Data Mining
[under review] Official PyTorch Implementation of "Cross-modal Autoregressive Network based on History Aggregation for Trajectory Prediction".
[ICML'2023] "GraphST: Spatial-Temporal Graph Learning with Adversarial Contrastive Adaptation"
ST-SSL (STSSL): Spatio-Temporal Self-Supervised Learning for Traffic Flow Forecasting/Prediction
[CIKM'2023] "CL4ST: Spatio-Temporal Meta Contrastive Learning"
[Pattern Recognition] Decomposition Dynamic Graph Conolutional Recurrent Network for Traffic Forecasting
[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"
M-LibCity: An Open Source Library for Urban Spatio-temporal Prediction Models Based on MindSpore
M-LibCity:基于Mindspore的城市时空预测模型开源算法库
PurpleAirSF: datasets for realistic air quality forecasting
This repository contains de code and instructions to train the models and prepare the datasets for the experiments in the paper "Atom: Neural Traffic Compression with Spatio-Temporal Graph Neural Networks" accepted at the 2nd ACM CONEXT GNNet 2023 Workshop.
[AAAI2023] A PyTorch implementation of PDFormer: Propagation Delay-aware Dynamic Long-range Transformer for Traffic Flow Prediction.
ST-MAN: Spatio-Temporal Multimodal Attention Network for Traffic Prediction (KSEM 2023)
Traffic data processing tools in LibCity
[IJCNN 2021] Unified Spatio-Temporal modeling for traffic forecasting using Graph Convolutional Network
A Multi-graph Multi-head Adaptive Temporal Graph Convolutional Network
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