Davidham3 / STSGCNLinks
AAAI 2020. Spatial-Temporal Synchronous Graph Convolutional Networks: A New Framework for Spatial-Temporal Network Data Forecasting
☆403Updated 5 years ago
Alternatives and similar repositories for STSGCN
Users that are interested in STSGCN are comparing it to the libraries listed below
Sorting:
- Adaptive Graph Convolutional Recurrent Network☆392Updated last year
- GMAN: A Graph Multi-Attention Network for Traffic Prediction (GMAN, https://fanxlxmu.github.io/publication/aaai2020/) was accepted by AAA…☆481Updated 3 years ago
- Diffusion Convolutional Recurrent Neural Network Implementation in PyTorch☆500Updated 11 months ago
- Code of STFGNN@AAAI-2021 (Spatial-Temporal/ Traffic data forecasting)☆222Updated 4 years ago
- Dynamic Graph Convolutional Recurrent Network for Traffic Prediction: Benchmark and Solution, TKDD 2023☆305Updated 4 years ago
- Attention Based Spatial-Temporal Graph Convolutional Networks for Traffic Flow Forecasting, AAAI 2019, pytorch version☆666Updated 4 years ago
- Attention Based Spatial-Temporal Graph Convolutional Networks for Traffic Flow Forecasting (ASTGCN) AAAI 2019☆235Updated 5 years ago
- This is a Pytorch implementation of ASTGNN. Now the corresponding paper is available online at https://ieeexplore.ieee.org/document/93460…☆230Updated 4 years ago
- 🚗 Implementation of spatio-temporal graph convolutional network with PyTorch☆354Updated 6 years ago
- graph wavenet☆701Updated 3 years ago
- Traffic prediction is the task of predicting future traffic measurements (e.g. volume, speed, etc.) in a road network (graph), using hist…☆295Updated last year
- Paper:Spatio-Temporal Graph Convolutional Networks: A Deep Learning Framework for Traffic Forecasting . Implementation of spatio-temporal…☆146Updated 4 years ago
- ⚠️[Deprecated] no longer maintained, please use the code in https://github.com/guoshnBJTU/ASTGCN-r-pytorch☆412Updated 6 years ago
- The PyTorch implementation of STGCN.☆594Updated 3 months ago
- Implementation of Graph Muti-Attention Network with PyTorch☆162Updated last year
- The pytorch implementation of Traffic Flow Prediction via Spatial Temporal Graph Neural Network☆138Updated 3 months ago
- [AAAI'19] Spatiotemporal Multi-Graph Convolution Network for Ride-Hailing Demand Forecasting (Pytorch Replication)☆93Updated 4 years ago
- paper : <Spatial-Temporal Transformer Networks for Traffic Flow Forecasting>☆167Updated 4 years ago
- ☆48Updated 5 years ago
- ☆78Updated last year
- codes of Deep Spatio-Temporal Graph Convolutional Network for Traffic Accident Prediction☆74Updated 3 years ago
- Traffic flow predict. Implementation of graph convolutional network with PyTorch☆109Updated 4 years ago
- This is the repository for the collection of Deep Learning for Traffic Prediction Problems.☆232Updated last year
- DSTAGNN: Dynamic Spatial-Temporal Aware Graph Neural Network for Traffic Flow Forecasting, which is accepted at ICML2022.☆177Updated 2 years ago
- This project is a collection of recent research in areas such as new infrastructure and urban computing, including white papers, academic…☆245Updated last year
- Attentive Traffic Flow Machines☆58Updated 4 years ago
- The code of AAAI2021 paper of HGCN for Traffic Forecasting☆96Updated 2 years ago
- A PyTorch implementation of T-GCN☆63Updated 2 years ago
- [AAAI2023] A PyTorch implementation of PDFormer: Propagation Delay-aware Dynamic Long-range Transformer for Traffic Flow Prediction.☆249Updated last year
- ☆73Updated 2 years ago