VeritasYin / STGCN_IJCAI-18Links
[IJCAI'18] Spatio-Temporal Graph Convolutional Networks
β1,171Updated last year
Alternatives and similar repositories for STGCN_IJCAI-18
Users that are interested in STGCN_IJCAI-18 are comparing it to the libraries listed below
Sorting:
- Implementation of Diffusion Convolutional Recurrent Neural Network in Tensorflowβ1,372Updated last year
- π Implementation of spatio-temporal graph convolutional network with PyTorchβ366Updated 7 years ago
- The PyTorch implementation of STGCN.β642Updated 9 months ago
- Temporal Graph Convolutional Network for Urban Traffic Flow Prediction Methodβ1,720Updated 4 months ago
- Attention Based Spatial-Temporal Graph Convolutional Networks for Traffic Flow Forecasting, AAAI 2019, pytorch versionβ712Updated 4 years ago
- β οΈ[Deprecated] no longer maintained, please use the code in https://github.com/guoshnBJTU/ASTGCN-r-pytorchβ422Updated 6 years ago
- graph wavenetβ768Updated 3 years ago
- Traffic Graph Convolutional Recurrent Neural Networkβ410Updated 6 years ago
- Diffusion Convolutional Recurrent Neural Network Implementation in PyTorchβ538Updated last year
- This is the repository for the collection of Graph Neural Network for Traffic Forecasting.β1,190Updated last year
- GMAN: A Graph Multi-Attention Network for Traffic Prediction (GMAN, https://fanxlxmu.github.io/publication/aaai2020/) was accepted by AAAβ¦β516Updated 3 years ago
- AAAI 2020. Spatial-Temporal Synchronous Graph Convolutional Networks: A New Framework for Spatial-Temporal Network Data Forecastingβ437Updated 5 years ago
- Attention Based Spatial-Temporal Graph Convolutional Networks for Traffic Flow Forecasting (ASTGCN) AAAI 2019β249Updated 6 years ago
- Adaptive Graph Convolutional Recurrent Networkβ416Updated last year
- Traffic prediction is the task of predicting future traffic measurements (e.g. volume, speed, etc.) in a road network (graph), using histβ¦β310Updated 2 years ago
- Code for our Spatiotemporal Dynamic Networkβ292Updated 6 years ago
- β912Updated 2 years ago
- implementation of STGCN for traffic prediction in IJCAI2018β115Updated 6 years ago
- [TKDD 2023] Dynamic Graph Convolutional Recurrent Network for Traffic Prediction: Benchmark and Solutionβ321Updated 4 years ago
- This project is a collection of recent research in areas such as new infrastructure and urban computing, including white papers, academicβ¦β251Updated 2 years ago
- Code of STFGNN@AAAI-2021 (Spatial-Temporal/ Traffic data forecasting)β224Updated 4 years ago
- The task is to restate a thesis and redo the experiment following the instructions in the paper.β71Updated 4 years ago
- The codes and data of paper "Urban Traffic Prediction from Spatio-Temporal Data Using Deep Meta Learning"β213Updated 2 years ago
- Summary of open source code for deep learning models in the field of traffic predictionβ275Updated 3 years ago
- Paper:Spatio-Temporal Graph Convolutional Networks: A Deep Learning Framework for Traffic Forecasting . Implementation of spatio-temporalβ¦β158Updated 5 years ago
- Some TrafficFlowForecasting Solutions(δΊ€ιζ΅ιι’ζ΅θ§£ε³ζΉζ‘)β392Updated 5 years ago
- β22Updated 7 years ago
- [AAAI'19] Spatiotemporal Multi-Graph Convolution Network for Ride-Hailing Demand Forecasting (Pytorch Replication)β95Updated 4 years ago
- AAAI 2020. Spatial-Temporal Synchronous Graph Convolutional Networks: A New Framework for Spatial-Temporal Network Data Forecastingβ49Updated 3 years ago
- β49Updated 6 years ago