Aguin / STGCN-PyTorchLinks
PyTorch implementation of STGCN
☆73Updated 5 years ago
Alternatives and similar repositories for STGCN-PyTorch
Users that are interested in STGCN-PyTorch are comparing it to the libraries listed below
Sorting:
- The code of AAAI2021 paper of HGCN for Traffic Forecasting☆95Updated 2 years ago
- Spatiotemporal Adaptive Gated Graph Convolution Network for Urban Traffic Flow Forecasting☆69Updated 4 years ago
- Code of STFGNN@AAAI-2021 (Spatial-Temporal/ Traffic data forecasting)☆219Updated 4 years ago
- Code snippets of ST-ResNet by PyTorch☆65Updated 5 years ago
- A PyTorch implementation of T-GCN☆62Updated 2 years ago
- Modifications to Graph Wavenet☆103Updated 5 years ago
- ☆48Updated 5 years ago
- Attentive Traffic Flow Machines☆58Updated 4 years ago
- The task is to restate a thesis and redo the experiment following the instructions in the paper.☆70Updated 4 years ago
- Useful resources for traffic prediction, including popular papers, datasets, tutorials, toolkits, and other helpful repositories.☆139Updated 5 months ago
- The pytorch implementation of Traffic Flow Prediction via Spatial Temporal Graph Neural Network☆137Updated 2 months ago
- codes of Deep Spatio-Temporal Graph Convolutional Network for Traffic Accident Prediction☆73Updated 2 years ago
- Reconstruction of DeepST☆103Updated 5 years ago
- AAAI 2020. Spatial-Temporal Synchronous Graph Convolutional Networks: A New Framework for Spatial-Temporal Network Data Forecasting☆394Updated 5 years ago
- code for "Physical-Virtual Collaboration Graph Network for Station-Level Metro Ridership Prediction"☆55Updated 2 years ago
- The codes and data of paper "Urban Traffic Prediction from Spatio-Temporal Data Using Deep Meta Learning"☆205Updated last year
- Implementation of Graph Muti-Attention Network with PyTorch☆162Updated last year
- Paper:Spatio-Temporal Graph Convolutional Networks: A Deep Learning Framework for Traffic Forecasting . Implementation of spatio-temporal…☆143Updated 4 years ago
- Code for Multi-graph convolutional network for short-term passenger flow forecasting in urban rail transit☆30Updated 4 years ago
- AAAIA2020-Accident Forecasting Experiments Setups☆41Updated 4 years ago
- Implementation of STG2Seq: Spatial-temporal Graph to Sequence Model for Multi-step Passenger Demand Forecasting☆32Updated 4 years ago
- code for "Physical-Virtual Collaboration Graph Network for Station-Level Metro Ridership Prediction"☆42Updated 4 years ago
- [AAAI'19] Spatiotemporal Multi-Graph Convolution Network for Ride-Hailing Demand Forecasting (Pytorch Replication)☆93Updated 4 years ago
- ☆73Updated 2 years ago
- 🚗 Implementation of spatio-temporal graph convolutional network with PyTorch☆354Updated 6 years ago
- This is a Pytorch implementation of ASTGNN. Now the corresponding paper is available online at https://ieeexplore.ieee.org/document/93460…☆221Updated 3 years ago
- implementation of STGCN for traffic prediction in IJCAI2018☆115Updated 5 years ago
- Dynamic Graph Convolutional Recurrent Network for Traffic Prediction: Benchmark and Solution, TKDD 2023☆299Updated 4 years ago
- Adaptive Graph Convolutional Recurrent Network☆391Updated last year
- Spatial-Temporal Graph ODE Neural Network☆111Updated 3 years ago