LeiBAI / AGCRN
Adaptive Graph Convolutional Recurrent Network
☆340Updated 6 months ago
Related projects: ⓘ
- AAAI 2020. Spatial-Temporal Synchronous Graph Convolutional Networks: A New Framework for Spatial-Temporal Network Data Forecasting☆340Updated 4 years ago
- Diffusion Convolutional Recurrent Neural Network Implementation in PyTorch☆439Updated 2 months ago
- GMAN: A Graph Multi-Attention Network for Traffic Prediction (GMAN, https://fanxlxmu.github.io/publication/aaai2020/) was accepted by AAA…☆401Updated 2 years ago
- This is a Pytorch implementation of ASTGNN. Now the corresponding paper is available online at https://ieeexplore.ieee.org/document/93460…☆172Updated 3 years ago
- Code of STFGNN@AAAI-2021 (Spatial-Temporal/ Traffic data forecasting)☆204Updated 3 years ago
- ☆267Updated 3 years ago
- Attention Based Spatial-Temporal Graph Convolutional Networks for Traffic Flow Forecasting (ASTGCN) AAAI 2019☆210Updated 5 years ago
- Attention Based Spatial-Temporal Graph Convolutional Networks for Traffic Flow Forecasting, AAAI 2019, pytorch version☆555Updated 3 years ago
- 🚗 Implementation of spatio-temporal graph convolutional network with PyTorch☆331Updated 5 years ago
- graph wavenet☆603Updated 2 years ago
- Code for our VLDB'22 paper Decoupled Dynamic Spatial-Temporal Graph Neural Network for Traffic Forecasting.☆156Updated 11 months ago
- Traffic prediction is the task of predicting future traffic measurements (e.g. volume, speed, etc.) in a road network (graph), using hist…☆273Updated 10 months ago
- Implementation of Graph Muti-Attention Network with PyTorch☆134Updated 10 months ago
- The pytorch implementation of Traffic Flow Prediction via Spatial Temporal Graph Neural Network☆113Updated 3 years ago
- The PyTorch implementation of STGCN.☆476Updated 3 weeks ago
- ⚠️[Deprecated] no longer maintained, please use the code in https://github.com/guoshnBJTU/ASTGCN-r-pytorch☆388Updated 5 years ago
- This is the repository for the collection of Deep Learning for Traffic Prediction Problems.☆219Updated 10 months ago
- paper : <Spatial-Temporal Transformer Networks for Traffic Flow Forecasting>☆157Updated 3 years ago
- [AAAI2023] A PyTorch implementation of PDFormer: Propagation Delay-aware Dynamic Long-range Transformer for Traffic Flow Prediction.☆194Updated 11 months ago
- ☆72Updated 9 months ago
- A PyTorch implementation of T-GCN☆56Updated last year
- Paper:Spatio-Temporal Graph Convolutional Networks: A Deep Learning Framework for Traffic Forecasting . Implementation of spatio-temporal…☆111Updated 3 years ago
- Code for our SIGKDD'22 paper Pre-training-Enhanced Spatial-Temporal Graph Neural Network For Multivariate Time Series Forecasting.☆325Updated 9 months ago
- PyTorch implementation of STGCN☆67Updated 4 years ago
- Traffic flow predict. Implementation of graph convolutional network with PyTorch☆100Updated 3 years ago
- This project is a collection of recent research in areas such as new infrastructure and urban computing, including white papers, academic…☆237Updated last year
- Traffic Graph Convolutional Recurrent Neural Network☆376Updated 4 years ago
- A collection of research on spatio-temporal data mining☆140Updated 3 weeks ago
- Modifications to Graph Wavenet☆94Updated 4 years ago
- DSTAGNN: Dynamic Spatial-Temporal Aware Graph Neural Network for Traffic Flow Forecasting, which is accepted at ICML2022.☆132Updated 2 years ago