guoshnBJTU / ASTGNNLinks
This is a Pytorch implementation of ASTGNN. Now the corresponding paper is available online at https://ieeexplore.ieee.org/document/9346058.
☆237Updated 4 years ago
Alternatives and similar repositories for ASTGNN
Users that are interested in ASTGNN are comparing it to the libraries listed below
Sorting:
- [AAAI2023] A PyTorch implementation of PDFormer: Propagation Delay-aware Dynamic Long-range Transformer for Traffic Flow Prediction.☆258Updated last year
- DSTAGNN: Dynamic Spatial-Temporal Aware Graph Neural Network for Traffic Flow Forecasting, which is accepted at ICML2022.☆178Updated 3 years ago
- ☆77Updated last year
- Code of STFGNN@AAAI-2021 (Spatial-Temporal/ Traffic data forecasting)☆221Updated 4 years ago
- Adaptive Graph Convolutional Recurrent Network☆398Updated last year
- ☆66Updated 3 years ago
- [TKDD 2023] Dynamic Graph Convolutional Recurrent Network for Traffic Prediction: Benchmark and Solution☆310Updated 4 years ago
- The pytorch implementation of Traffic Flow Prediction via Spatial Temporal Graph Neural Network☆144Updated 5 months ago
- Implementation of Graph Muti-Attention Network with PyTorch☆165Updated last year
- ST-SSL (STSSL): Spatio-Temporal Self-Supervised Learning for Traffic Flow Forecasting/Prediction☆186Updated 9 months ago
- This is a Pytorch implementation of Traffic Transformer. Now the corresponding paper is available online at☆26Updated 2 years ago
- AAAI 2020. Spatial-Temporal Synchronous Graph Convolutional Networks: A New Framework for Spatial-Temporal Network Data Forecasting☆411Updated 5 years ago
- ☆73Updated 2 years ago
- Paper:Spatio-Temporal Graph Convolutional Networks: A Deep Learning Framework for Traffic Forecasting . Implementation of spatio-temporal…☆149Updated 4 years ago
- paper : <Spatial-Temporal Transformer Networks for Traffic Flow Forecasting>☆168Updated 4 years ago
- This is the repository for the collection of Deep Learning for Traffic Prediction Problems.☆232Updated last year
- A PyTorch implementation of T-GCN☆63Updated 2 years ago
- Attention Based Spatial-Temporal Graph Convolutional Networks for Traffic Flow Forecasting (ASTGCN) AAAI 2019☆239Updated 6 years ago
- Spatial–Temporal Dynamic Graph Convolutional Network With Interactive Learning for Traffic Forecasting☆71Updated 4 months ago
- Spatial-Temporal Graph ODE Neural Network☆118Updated 3 years ago
- The pytorch code of DGCN(TITS)☆55Updated 3 years ago
- [AAAI23] This it the official github for AAAI23 paper "Spatio-Temporal Meta-Graph Learning for Traffic Forecasting"☆129Updated last year
- [CIKM'23] Official code for our paper "Spatio-Temporal Adaptive Embedding Makes Vanilla Transformer SOTA for Traffic Forecasting".☆192Updated last year
- Traffic flow predict. Implementation of graph convolutional network with PyTorch☆112Updated 4 years ago
- [AAAI'19] Spatiotemporal Multi-Graph Convolution Network for Ride-Hailing Demand Forecasting (Pytorch Replication)☆93Updated 4 years ago
- Traffic prediction is the task of predicting future traffic measurements (e.g. volume, speed, etc.) in a road network (graph), using hist…☆298Updated last year
- ☆43Updated 3 years ago
- Dual Dynamic Spatial-Temporal Graph Convolution Network for Traffic Prediction☆49Updated 2 years ago
- The code of AAAI2021 paper of HGCN for Traffic Forecasting☆97Updated 3 years ago
- Attention Based Spatial-Temporal Graph Convolutional Networks for Traffic Flow Forecasting, AAAI 2019, pytorch version☆688Updated 4 years ago