wanhuaiyu / ASTGCNLinks
Attention Based Spatial-Temporal Graph Convolutional Networks for Traffic Flow Forecasting (ASTGCN) AAAI 2019
☆234Updated 5 years ago
Alternatives and similar repositories for ASTGCN
Users that are interested in ASTGCN are comparing it to the libraries listed below
Sorting:
- Code of STFGNN@AAAI-2021 (Spatial-Temporal/ Traffic data forecasting)☆220Updated 4 years ago
- ⚠️[Deprecated] no longer maintained, please use the code in https://github.com/guoshnBJTU/ASTGCN-r-pytorch☆411Updated 5 years ago
- AAAI 2020. Spatial-Temporal Synchronous Graph Convolutional Networks: A New Framework for Spatial-Temporal Network Data Forecasting☆397Updated 5 years ago
- Paper:Spatio-Temporal Graph Convolutional Networks: A Deep Learning Framework for Traffic Forecasting . Implementation of spatio-temporal…☆144Updated 4 years ago
- GMAN: A Graph Multi-Attention Network for Traffic Prediction (GMAN, https://fanxlxmu.github.io/publication/aaai2020/) was accepted by AAA…☆479Updated 3 years ago
- Dynamic Graph Convolutional Recurrent Network for Traffic Prediction: Benchmark and Solution, TKDD 2023☆302Updated 4 years ago
- This is a Pytorch implementation of ASTGNN. Now the corresponding paper is available online at https://ieeexplore.ieee.org/document/93460…☆223Updated 3 years ago
- Attention Based Spatial-Temporal Graph Convolutional Networks for Traffic Flow Forecasting, AAAI 2019, pytorch version☆663Updated 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…☆292Updated last year
- [AAAI'19] Spatiotemporal Multi-Graph Convolution Network for Ride-Hailing Demand Forecasting (Pytorch Replication)☆93Updated 4 years ago
- AAAI 2020. Spatial-Temporal Synchronous Graph Convolutional Networks: A New Framework for Spatial-Temporal Network Data Forecasting☆50Updated 2 years ago
- Traffic flow predict. Implementation of graph convolutional network with PyTorch☆109Updated 4 years ago
- Machine learning for transportation data imputation and prediction.☆40Updated 5 years ago
- Adaptive Graph Convolutional Recurrent Network☆392Updated last year
- Reconstruction of DeepST☆104Updated 5 years ago
- ☆76Updated last year
- The pytorch implementation of Traffic Flow Prediction via Spatial Temporal Graph Neural Network☆137Updated 3 months ago
- 🚗 Implementation of spatio-temporal graph convolutional network with PyTorch☆354Updated 6 years ago
- paper : <Spatial-Temporal Transformer Networks for Traffic Flow Forecasting>☆167Updated 4 years ago
- ☆48Updated 5 years ago
- Attention Based Spatial-Temporal Graph Convolutional Networks for Traffic Flow Forecasting, AAAI 2019, pytorch version☆18Updated 2 years ago
- implementation of STGCN for traffic prediction in IJCAI2018☆115Updated 6 years ago
- This is the repository for the collection of Deep Learning for Traffic Prediction Problems.☆230Updated last year
- Diffusion Convolutional Recurrent Neural Network Implementation in PyTorch☆499Updated 11 months ago
- A PyTorch implementation of T-GCN☆63Updated 2 years ago
- The codes and data of paper "Urban Traffic Prediction from Spatio-Temporal Data Using Deep Meta Learning"☆205Updated last year
- 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
- codes of Deep Spatio-Temporal Graph Convolutional Network for Traffic Accident Prediction☆74Updated 3 years ago
- DSTAGNN: Dynamic Spatial-Temporal Aware Graph Neural Network for Traffic Flow Forecasting, which is accepted at ICML2022.☆173Updated 2 years ago