lehaifeng / T-GCNLinks
Temporal Graph Convolutional Network for Urban Traffic Flow Prediction Method
☆1,704Updated 3 months ago
Alternatives and similar repositories for T-GCN
Users that are interested in T-GCN are comparing it to the libraries listed below
Sorting:
- This is the repository for the collection of Graph Neural Network for Traffic Forecasting.☆1,182Updated last year
- [IJCAI'18] Spatio-Temporal Graph Convolutional Networks☆1,161Updated last year
- Implementation of Diffusion Convolutional Recurrent Neural Network in Tensorflow☆1,355Updated 11 months ago
- Attention Based Spatial-Temporal Graph Convolutional Networks for Traffic Flow Forecasting, AAAI 2019, pytorch version☆707Updated 4 years ago
- The PyTorch implementation of STGCN.☆631Updated 8 months ago
- graph wavenet☆755Updated 3 years ago
- GMAN: A Graph Multi-Attention Network for Traffic Prediction (GMAN, https://fanxlxmu.github.io/publication/aaai2020/) was accepted by AAA…☆510Updated 3 years ago
- Diffusion Convolutional Recurrent Neural Network Implementation in PyTorch☆528Updated last year
- 🚗 Implementation of spatio-temporal graph convolutional network with PyTorch☆361Updated 6 years ago
- AAAI 2020. Spatial-Temporal Synchronous Graph Convolutional Networks: A New Framework for Spatial-Temporal Network Data Forecasting☆429Updated 5 years ago
- ⚠️[Deprecated] no longer maintained, please use the code in https://github.com/guoshnBJTU/ASTGCN-r-pytorch☆421Updated 6 years ago
- Attention Based Spatial-Temporal Graph Convolutional Networks for Traffic Flow Forecasting (ASTGCN) AAAI 2019☆245Updated 6 years ago
- Traffic Graph Convolutional Recurrent Neural Network☆410Updated 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…☆310Updated 2 years ago
- Adaptive Graph Convolutional Recurrent Network☆410Updated last year
- Some TrafficFlowForecasting Solutions(交通流量预测解决方案)☆387Updated 5 years ago
- ☆903Updated 2 years ago
- [TKDD 2023] Dynamic Graph Convolutional Recurrent Network for Traffic Prediction: Benchmark and Solution☆316Updated 4 years ago
- Summary of open source code for deep learning models in the field of traffic prediction☆273Updated 3 years ago
- Code for Deep-learning Architecture for Short-term Passenger Flow Forecasting in Urban Rail Transit☆204Updated 5 years ago
- 交通流量预测项目在研，以下是本人学习过程中积累整理的资源，会持续更新☆240Updated 5 years ago
- ☆34Updated 4 years ago
- This project is a collection of recent research in areas such as new infrastructure and urban computing, including white papers, academic…☆250Updated 2 years ago
- Paper:Spatio-Temporal Graph Convolutional Networks: A Deep Learning Framework for Traffic Forecasting . Implementation of spatio-temporal…☆158Updated 5 years ago
- PyTorch Geometric Temporal: Spatiotemporal Signal Processing with Neural Machine Learning Models (CIKM 2021)☆2,906Updated 2 months ago
- This is the repository for the collection of Deep Learning for Traffic Prediction Problems.☆234Updated 2 years ago
- This is a Pytorch implementation of ASTGNN. Now the corresponding paper is available online at https://ieeexplore.ieee.org/document/93460…☆245Updated 4 years ago
- Traffic flow predict. Implementation of graph convolutional network with PyTorch☆115Updated 5 years ago
- 比较 TCN、GRU、GCN、TGCN、 TCN+GCN 在 交通流量预测方面的准确率效果。☆139Updated 4 years ago
- The codes and data of paper "Urban Traffic Prediction from Spatio-Temporal Data Using Deep Meta Learning"☆213Updated 2 years ago