Kelang-Tian / ST-MGAT
☆19Updated 4 years ago
Alternatives and similar repositories for ST-MGAT
Users that are interested in ST-MGAT are comparing it to the libraries listed below
Sorting:
- Code for Paper "Multi-task Adversarial Spatial-Temporal Networks for Crowd Flow Prediction"☆20Updated 2 years ago
- code for "Physical-Virtual Collaboration Graph Network for Station-Level Metro Ridership Prediction"☆42Updated 4 years ago
- An end-to-end deep learning model for spatial-temporal prediction☆34Updated 3 years ago
- PyTorch implementaion of Spatial-Temporal Sequence to Sequence model.☆15Updated 4 years ago
- Spatiotemporal Adaptive Gated Graph Convolution Network for Urban Traffic Flow Forecasting☆70Updated 4 years ago
- code for "Physical-Virtual Collaboration Graph Network for Station-Level Metro Ridership Prediction"☆55Updated 2 years ago
- ☆49Updated 2 years ago
- The code of AAAI2021 paper of HGCN for Traffic Forecasting☆93Updated 2 years ago
- AAAIA2020-Accident Forecasting Experiments Setups☆41Updated 4 years ago
- Traffic Flow Prediction with Vehicle Trajectories☆69Updated 4 years ago
- Code for Multi-graph convolutional network for short-term passenger flow forecasting in urban rail transit☆30Updated 4 years ago
- traffic flow prediction☆23Updated 2 years ago
- Taxi Origin-Destination Demand Prediction☆53Updated 4 years ago
- The pytorch implementation of ST-GRAT: A Novel Spatio-temporal Graph Attention Network for Accurately Forecasting Dynamically Changing Ro…☆42Updated 3 years ago
- [ICDE'20] Predicting Origin-Destination Flow via Multi-Perspective Graph Convolutional Network (Pytorch Replication)☆20Updated 3 years ago
- The codes and data of paper "Curb-GAN: Conditional Urban Traffic Estimation through Spatio-Temporal Generative Adversarial Networks"☆33Updated 5 years ago
- [ECMLPKDD21] Countrywide Origin-Destination Matrix Prediction and Its Application for COVID-19☆30Updated last year
- ☆16Updated 2 years ago
- Paper STGAT: Spatial-Temporal Graph Attention Networks for Traffic Flow Forecasting☆17Updated 3 years ago
- AAAI 2021. GSNet: Learning Spatial-Temporal Correlations from Geographical and Semantic Aspects for Traffic Accident Risk Forecasting☆32Updated 2 years ago
- Papers on Spatial-Temporal Graph Neural Networks☆26Updated 3 years ago
- This is a Pytorch implementation of Traffic Transformer. Now the corresponding paper is available online at☆25Updated 2 years ago
- ☆73Updated 2 years ago
- ☆48Updated 5 years ago
- Implementation of STG2Seq: Spatial-temporal Graph to Sequence Model for Multi-step Passenger Demand Forecasting☆32Updated 4 years ago
- ☆41Updated 3 years ago
- Pytorch implementation of Spatoi-temporal Differential Equation Network (STDEN).☆38Updated 2 years ago
- Codes for RiskSeq-TKDE☆20Updated 4 years ago
- Code snippets of ST-ResNet by PyTorch☆65Updated 5 years ago
- Attentive Traffic Flow Machines☆58Updated 4 years ago