Attention Based Spatial-Temporal Graph Convolutional Networks for Traffic Flow Forecasting (ASTGCN) AAAI 2019
☆252Aug 13, 2019Updated 6 years ago
Alternatives and similar repositories for ASTGCN
Users that are interested in ASTGCN are comparing it to the libraries listed below
Sorting:
- Attention Based Spatial-Temporal Graph Convolutional Networks for Traffic Flow Forecasting, AAAI 2019, pytorch version☆717Jul 13, 2021Updated 4 years ago
- AAAI 2020. Spatial-Temporal Synchronous Graph Convolutional Networks: A New Framework for Spatial-Temporal Network Data Forecasting☆47Nov 28, 2022Updated 3 years ago
- ⚠️[Deprecated] no longer maintained, please use the code in https://github.com/guoshnBJTU/ASTGCN-r-pytorch☆425Jun 28, 2019Updated 6 years ago
- Implementation of Diffusion Convolutional Recurrent Neural Network in Tensorflow☆1,384Dec 9, 2024Updated last year
- Attention Based Spatial-Temporal Graph Convolutional Networks for Traffic Flow Forecasting, AAAI 2019, pytorch version☆18Nov 28, 2022Updated 3 years ago
- GMAN: A Graph Multi-Attention Network for Traffic Prediction (GMAN, https://fanxlxmu.github.io/publication/aaai2020/) was accepted by AAA…☆525Apr 12, 2022Updated 3 years ago
- [IJCAI'18] Spatio-Temporal Graph Convolutional Networks☆1,187Apr 29, 2024Updated last year
- graph wavenet☆777Mar 14, 2022Updated 3 years ago
- Adaptive Graph Convolutional Recurrent Network☆419Feb 23, 2024Updated 2 years ago
- ☆13Mar 29, 2022Updated 3 years ago
- Diffusion Convolutional Recurrent Neural Network Implementation in PyTorch☆543Jul 17, 2024Updated last year
- Temporal Graph Convolutional Network for Urban Traffic Flow Prediction Method☆1,741Sep 1, 2025Updated 6 months ago
- ☆49Nov 11, 2019Updated 6 years ago
- This is the repository for the collection of Graph Neural Network for Traffic Forecasting.☆1,199Aug 7, 2024Updated last year
- Attentive Traffic Flow Machines☆60Oct 16, 2020Updated 5 years ago
- Implementation of Graph Muti-Attention Network with PyTorch☆175Nov 2, 2023Updated 2 years ago
- [TKDD 2023] Dynamic Graph Convolutional Recurrent Network for Traffic Prediction: Benchmark and Solution☆328May 24, 2021Updated 4 years ago
- This is a Pytorch implementation of ASTGNN. Now the corresponding paper is available online at https://ieeexplore.ieee.org/document/93460…☆257Jul 1, 2021Updated 4 years ago
- AGC-Net (Adaptive Graph Convolution Networks) is an advanced model designed to predict traffic flow. Dataset: METR-LA, PEMS-BAY☆12Sep 6, 2023Updated 2 years ago
- Code of STFGNN@AAAI-2021 (Spatial-Temporal/ Traffic data forecasting)☆228Jan 26, 2021Updated 5 years ago
- AAAI 2020. Spatial-Temporal Synchronous Graph Convolutional Networks: A New Framework for Spatial-Temporal Network Data Forecasting☆447Feb 4, 2020Updated 6 years ago
- An end-to-end deep learning model for spatial-temporal prediction☆35Jan 2, 2022Updated 4 years ago
- AAAIA2020-Accident Forecasting Experiments Setups☆40Nov 19, 2020Updated 5 years ago
- Paper:Spatio-Temporal Graph Convolutional Networks: A Deep Learning Framework for Traffic Forecasting . Implementation of spatio-temporal…☆158Nov 11, 2020Updated 5 years ago
- 🚗 Implementation of spatio-temporal graph convolutional network with PyTorch☆366Dec 11, 2018Updated 7 years ago
- ☆74Nov 19, 2022Updated 3 years ago
- Code for our Spatiotemporal Dynamic Network☆292Apr 28, 2019Updated 6 years ago
- ☆67Jan 23, 2022Updated 4 years ago
- The codes and data of paper "Urban Traffic Prediction from Spatio-Temporal Data Using Deep Meta Learning"☆215Jul 6, 2023Updated 2 years ago
- Spatial-Temporal Graph ODE Neural Network☆126Jan 18, 2022Updated 4 years ago
- implementation of STGCN for traffic prediction in IJCAI2018☆115Jun 12, 2019Updated 6 years ago
- Machine learning for transportation data imputation and prediction.☆40Oct 31, 2019Updated 6 years ago
- DSTAGNN: Dynamic Spatial-Temporal Aware Graph Neural Network for Traffic Flow Forecasting, which is accepted at ICML2022.☆194Aug 1, 2022Updated 3 years ago
- PyTorch implementation of STGCN☆77Dec 27, 2019Updated 6 years ago
- [AAAI'19] Spatiotemporal Multi-Graph Convolution Network for Ride-Hailing Demand Forecasting (Pytorch Replication)☆96May 17, 2021Updated 4 years ago
- 交通·未来系列线上公益学术活动PPT☆117May 7, 2025Updated 10 months ago
- ☆922Jul 6, 2023Updated 2 years ago
- ☆14Aug 18, 2021Updated 4 years ago
- code for "Physical-Virtual Collaboration Graph Network for Station-Level Metro Ridership Prediction"☆60Dec 5, 2022Updated 3 years ago