wanhuaiyu / ASTGCN-r-pytorchLinks
Attention Based Spatial-Temporal Graph Convolutional Networks for Traffic Flow Forecasting, AAAI 2019, pytorch version
☆18Updated 2 years ago
Alternatives and similar repositories for ASTGCN-r-pytorch
Users that are interested in ASTGCN-r-pytorch are comparing it to the libraries listed below
Sorting:
- AAAI 2020. Spatial-Temporal Synchronous Graph Convolutional Networks: A New Framework for Spatial-Temporal Network Data Forecasting☆50Updated 2 years ago
- Attention Based Spatial-Temporal Graph Convolutional Networks for Traffic Flow Forecasting (ASTGCN) AAAI 2019☆239Updated 6 years ago
- Code of STFGNN@AAAI-2021 (Spatial-Temporal/ Traffic data forecasting)☆220Updated 4 years ago
- [AAAI'19] Spatiotemporal Multi-Graph Convolution Network for Ride-Hailing Demand Forecasting (Pytorch Replication)☆93Updated 4 years ago
- [TKDD 2023] Dynamic Graph Convolutional Recurrent Network for Traffic Prediction: Benchmark and Solution☆306Updated 4 years ago
- ☆48Updated 5 years ago
- This is a Pytorch implementation of Traffic Transformer. Now the corresponding paper is available online at☆26Updated 2 years ago
- This is the repository for the collection of Deep Learning for Traffic Prediction Problems.☆233Updated last year
- Paper:Spatio-Temporal Graph Convolutional Networks: A Deep Learning Framework for Traffic Forecasting . Implementation of spatio-temporal…☆148Updated 4 years ago
- This is a Pytorch implementation of ASTGNN. Now the corresponding paper is available online at https://ieeexplore.ieee.org/document/93460…☆233Updated 4 years ago
- code for "Physical-Virtual Collaboration Graph Network for Station-Level Metro Ridership Prediction"☆59Updated 2 years ago
- paper : <Spatial-Temporal Transformer Networks for Traffic Flow Forecasting>☆167Updated 4 years ago
- Traffic flow predict. Implementation of graph convolutional network with PyTorch☆112Updated 4 years ago
- ☆78Updated last year
- Attentive Traffic Flow Machines☆58Updated 4 years ago
- Summary of open source code for deep learning models in the field of traffic prediction☆268Updated 2 years ago
- Machine learning for transportation data imputation and prediction.☆40Updated 5 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
- Code for the paper "Predicting origin-destination ride-sourcing demand with a spatio-temporal encoder-decoder residual multi-graph convol…☆15Updated 4 years ago
- Paper list in traffic prediction field☆224Updated last year
- ☆66Updated 3 years ago
- [ECMLPKDD21] Countrywide Origin-Destination Matrix Prediction and Its Application for COVID-19☆30Updated 2 years ago
- AAAI 2021. GSNet: Learning Spatial-Temporal Correlations from Geographical and Semantic Aspects for Traffic Accident Risk Forecasting☆35Updated 2 years ago
- Paper & Code & Dataset Collection of Spatial-Temporal Data Mining.☆135Updated last year
- DSTAGNN: Dynamic Spatial-Temporal Aware Graph Neural Network for Traffic Flow Forecasting, which is accepted at ICML2022.☆178Updated 3 years ago
- Code for Multi-graph convolutional network for short-term passenger flow forecasting in urban rail transit☆33Updated 5 years ago
- ☆13Updated 7 years ago
- ☆14Updated 4 years ago
- This project is a collection of recent research in areas such as new infrastructure and urban computing, including white papers, academic…☆245Updated 2 years ago
- Attention Based Spatial-Temporal Graph Convolutional Networks for Traffic Flow Forecasting, AAAI 2019, pytorch version☆678Updated 4 years ago