haoxingl / STSAN
Spatial-Temporal Self-Attention Network
☆24Updated 3 years ago
Alternatives and similar repositories for STSAN:
Users that are interested in STSAN are comparing it to the libraries listed below
- The pytorch implementation of ST-GRAT: A Novel Spatio-temporal Graph Attention Network for Accurately Forecasting Dynamically Changing Ro…☆41Updated 3 years ago
- ☆40Updated 2 years ago
- ☆71Updated 2 years ago
- Dynamic Switch-Attention Network☆20Updated 3 years ago
- Spatiotemporal Adaptive Gated Graph Convolution Network for Urban Traffic Flow Forecasting☆68Updated 4 years ago
- PyTorch implementaion of Spatial-Temporal Sequence to Sequence model.☆15Updated 3 years ago
- ☆8Updated 4 years ago
- ☆47Updated 2 years ago
- ☆25Updated 4 years ago
- ☆13Updated last year
- ☆14Updated 3 years ago
- code for "Physical-Virtual Collaboration Graph Network for Station-Level Metro Ridership Prediction"☆54Updated 2 years ago
- Attentive Traffic Flow Machines☆58Updated 4 years ago
- [CIKM'21] Spatio-Temporal-Categorical Graph Neural Networks for Fine-Grained Multi-Incident Co-Prediction☆17Updated 3 years ago
- ☆49Updated 2 years ago
- The codes and data of paper "Curb-GAN: Conditional Urban Traffic Estimation through Spatio-Temporal Generative Adversarial Networks"☆32Updated 5 years ago
- ☆43Updated 2 years ago
- Code for Paper "Multi-task Adversarial Spatial-Temporal Networks for Crowd Flow Prediction"☆19Updated 2 years ago
- The code of AAAI2021 paper of HGCN for Traffic Forecasting☆93Updated 2 years ago
- [CIKM 2023] This is the official source code of "TrendGCN: Enhancing the Robustness via Adversarial Learning and Joint Spatial-Temporal E…☆48Updated last year
- ☆13Updated 2 years ago
- ☆68Updated 3 years ago
- AAAIA2020-Accident Forecasting Experiments Setups☆41Updated 4 years ago
- Spatial-Temporal Graph ODE Neural Network☆106Updated 3 years ago
- This is the official release code of AAAI2023 accepted paper: "Spatial temporal Neural Structural Causal Models for Bike Flow Prediction"☆35Updated 2 years ago
- The code of Dynamic Graph Learning Based on Hierarchical Memory for Origin-Destination Demand Prediction☆14Updated 2 years ago
- The pytorch code of DGCN(TITS)☆53Updated 2 years ago
- This is an implementation of a traffic speed predicition model.☆10Updated 2 years ago
- An end-to-end deep learning model for spatial-temporal prediction☆34Updated 3 years ago
- AAAI 2021. GSNet: Learning Spatial-Temporal Correlations from Geographical and Semantic Aspects for Traffic Accident Risk Forecasting☆32Updated last year