wanhuaiyu / ASTGCN
Attention Based Spatial-Temporal Graph Convolutional Networks for Traffic Flow Forecasting (ASTGCN) AAAI 2019
☆219Updated 5 years ago
Alternatives and similar repositories for ASTGCN:
Users that are interested in ASTGCN are comparing it to the libraries listed below
- Code of STFGNN@AAAI-2021 (Spatial-Temporal/ Traffic data forecasting)☆217Updated 4 years ago
- AAAI 2020. Spatial-Temporal Synchronous Graph Convolutional Networks: A New Framework for Spatial-Temporal Network Data Forecasting☆377Updated 5 years ago
- Dynamic Graph Convolutional Recurrent Network for Traffic Prediction: Benchmark and Solution, TKDD 2023☆290Updated 3 years ago
- Attention Based Spatial-Temporal Graph Convolutional Networks for Traffic Flow Forecasting, AAAI 2019, pytorch version☆628Updated 3 years ago
- ⚠️[Deprecated] no longer maintained, please use the code in https://github.com/guoshnBJTU/ASTGCN-r-pytorch☆400Updated 5 years ago
- Adaptive Graph Convolutional Recurrent Network☆370Updated 11 months ago
- GMAN: A Graph Multi-Attention Network for Traffic Prediction (GMAN, https://fanxlxmu.github.io/publication/aaai2020/) was accepted by AAA…☆432Updated 2 years ago
- This is a Pytorch implementation of ASTGNN. Now the corresponding paper is available online at https://ieeexplore.ieee.org/document/93460…☆199Updated 3 years ago
- [AAAI'19] Spatiotemporal Multi-Graph Convolution Network for Ride-Hailing Demand Forecasting (Pytorch Replication)☆89Updated 3 years ago
- Paper:Spatio-Temporal Graph Convolutional Networks: A Deep Learning Framework for Traffic Forecasting . Implementation of spatio-temporal…☆135Updated 4 years ago
- Traffic flow predict. Implementation of graph convolutional network with PyTorch☆106Updated 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…☆286Updated last year
- AAAI 2020. Spatial-Temporal Synchronous Graph Convolutional Networks: A New Framework for Spatial-Temporal Network Data Forecasting☆49Updated 2 years ago
- This is the repository for the collection of Deep Learning for Traffic Prediction Problems.☆226Updated last year
- ☆46Updated 5 years ago
- Reconstruction of DeepST☆101Updated 5 years ago
- The pytorch implementation of Traffic Flow Prediction via Spatial Temporal Graph Neural Network☆125Updated 3 years ago
- ☆74Updated last year
- Diffusion Convolutional Recurrent Neural Network Implementation in PyTorch☆471Updated 6 months ago
- The task is to restate a thesis and redo the experiment following the instructions in the paper.☆69Updated 3 years ago
- Attention Based Spatial-Temporal Graph Convolutional Networks for Traffic Flow Forecasting, AAAI 2019, pytorch version☆17Updated 2 years ago
- paper : <Spatial-Temporal Transformer Networks for Traffic Flow Forecasting>☆161Updated 3 years ago
- Attentive Traffic Flow Machines☆58Updated 4 years ago
- Machine learning for transportation data imputation and prediction.☆40Updated 5 years ago
- The codes and data of paper "Urban Traffic Prediction from Spatio-Temporal Data Using Deep Meta Learning"☆200Updated last year
- Code for our VLDB'22 paper Decoupled Dynamic Spatial-Temporal Graph Neural Network for Traffic Forecasting.☆177Updated last year
- implementation of STGCN for traffic prediction in IJCAI2018☆110Updated 5 years ago
- Tutorial about Graph Convolutional Network(GCN)☆95Updated 3 years ago
- 🚗 Implementation of spatio-temporal graph convolutional network with PyTorch☆344Updated 6 years ago
- A PyTorch implementation of T-GCN☆61Updated last year