guoshnBJTU / ASTGNN
This is a Pytorch implementation of ASTGNN. Now the corresponding paper is available online at https://ieeexplore.ieee.org/document/9346058.
☆213Updated 3 years ago
Alternatives and similar repositories for ASTGNN:
Users that are interested in ASTGNN are comparing it to the libraries listed below
- The pytorch implementation of Traffic Flow Prediction via Spatial Temporal Graph Neural Network☆133Updated 3 weeks ago
- DSTAGNN: Dynamic Spatial-Temporal Aware Graph Neural Network for Traffic Flow Forecasting, which is accepted at ICML2022.☆158Updated 2 years ago
- ☆76Updated last year
- Code of STFGNN@AAAI-2021 (Spatial-Temporal/ Traffic data forecasting)☆219Updated 4 years ago
- [AAAI2023] A PyTorch implementation of PDFormer: Propagation Delay-aware Dynamic Long-range Transformer for Traffic Flow Prediction.☆233Updated last year
- Paper:Spatio-Temporal Graph Convolutional Networks: A Deep Learning Framework for Traffic Forecasting . Implementation of spatio-temporal…☆140Updated 4 years ago
- Adaptive Graph Convolutional Recurrent Network☆385Updated last year
- Dynamic Graph Convolutional Recurrent Network for Traffic Prediction: Benchmark and Solution, TKDD 2023☆294Updated 3 years ago
- A PyTorch implementation of T-GCN☆62Updated last year
- ☆64Updated 3 years ago
- Implementation of Graph Muti-Attention Network with PyTorch☆157Updated last year
- Attention Based Spatial-Temporal Graph Convolutional Networks for Traffic Flow Forecasting (ASTGCN) AAAI 2019☆227Updated 5 years ago
- Traffic flow predict. Implementation of graph convolutional network with PyTorch☆109Updated 4 years ago
- [CIKM'23] Official code for our paper "Spatio-Temporal Adaptive Embedding Makes Vanilla Transformer SOTA for Traffic Forecasting".☆170Updated last year
- ST-SSL (STSSL): Spatio-Temporal Self-Supervised Learning for Traffic Flow Forecasting/Prediction☆174Updated 4 months ago
- Spatial-Temporal Graph ODE Neural Network☆108Updated 3 years ago
- AAAI 2020. Spatial-Temporal Synchronous Graph Convolutional Networks: A New Framework for Spatial-Temporal Network Data Forecasting☆385Updated 5 years ago
- [AAAI'19] Spatiotemporal Multi-Graph Convolution Network for Ride-Hailing Demand Forecasting (Pytorch Replication)☆90Updated 3 years ago
- ☆72Updated 2 years ago
- This is a Pytorch implementation of Traffic Transformer. Now the corresponding paper is available online at☆25Updated 2 years ago
- ☆43Updated 2 years ago
- ☆38Updated 2 years ago
- The code of AAAI2021 paper of HGCN for Traffic Forecasting☆93Updated 2 years ago
- Spatiotemporal Adaptive Gated Graph Convolution Network for Urban Traffic Flow Forecasting☆70Updated 4 years ago
- paper : <Spatial-Temporal Transformer Networks for Traffic Flow Forecasting>☆165Updated 3 years ago
- [AAAI23] This it the official github for AAAI23 paper "Spatio-Temporal Meta-Graph Learning for Traffic Forecasting"☆113Updated last year
- Code of “STG4Traffic: A Survey and Benchmark of Spatial-Temporal Graph Neural Networks for Traffic Prediction”.☆66Updated 9 months ago
- Attention Based Spatial-Temporal Graph Convolutional Networks for Traffic Flow Forecasting, AAAI 2019, pytorch version☆648Updated 3 years ago
- Tutorial about Graph Convolutional Network(GCN)☆99Updated 4 years ago
- Spatial–Temporal Dynamic Graph Convolutional Network With Interactive Learning for Traffic Forecasting☆58Updated 5 months ago