LibCity: An Open Library for Urban Spatial-temporal Data Mining
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Updated
Jun 21, 2024 - Python
LibCity: An Open Library for Urban Spatial-temporal Data Mining
Tensorflow Implementation of GeoMAN, IJCAI-18
A TensorFlow Implementation of Deep Spatio-Temporal Residual Networks (ST-ResNet): https://arxiv.org/abs/1610.00081
[AAAI2023] A PyTorch implementation of PDFormer: Propagation Delay-aware Dynamic Long-range Transformer for Traffic Flow Prediction.
ST-SSL (STSSL): Spatio-Temporal Self-Supervised Learning for Traffic Flow Forecasting/Prediction
Traffic data processing tools in LibCity
tsl: a PyTorch library for processing spatiotemporal data.
[KDD'2024] "UrbanGPT: Spatio-Temporal Large Language Models"
[KDD CUP 2022] 11th place solution of Spatial-Temporal Graph Neural Network for Wind Power Forecasting in Baidu KDD CUP 2022
[Pattern Recognition] Decomposition Dynamic Graph Conolutional Recurrent Network for Traffic Forecasting
This is a real-world dataset of 18,061 public electric vehicle (EV) charging piles for spatio-temporal charging demand prediction.
[IJCNN 2021] Unified Spatio-Temporal modeling for traffic forecasting using Graph Convolutional Network
A PyTorch implementation of T-GCN
Implementation of the paper - Deep Spatio-Temporal Residual Networks for Citywide Crowd Flows Prediction
[NeurIPS'2023] "GPT-ST: Generative Pre-Training of Spatio-Temporal Graph Neural Networks"
[ICML'2023] "GraphST: Spatial-Temporal Graph Learning with Adversarial Contrastive Adaptation"
Using recurrent Spatio-Temporal Graph Convolutional Neural Networks to improve ETA predictions of cargo railway transportation.
[ICML'2024] "FlashST: A Simple and Universal Prompt-Tuning Framework for Traffic Prediction"
Solution for our Neurips 2019 challenge on traffic movie forecasting
M-LibCity: An Open Source Library for Urban Spatio-temporal Prediction Models Based on MindSpore
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