amirkhango / DeepSTLinks
Deep Learning for Spatio-Temporal Data
☆67Updated 8 years ago
Alternatives and similar repositories for DeepST
Users that are interested in DeepST are comparing it to the libraries listed below
Sorting:
- Reconstruction of DeepST☆103Updated 5 years ago
- Attentive Traffic Flow Machines☆58Updated 4 years ago
- Code snippets of ST-ResNet by PyTorch☆65Updated 5 years ago
- Machine learning for transportation data imputation and prediction.☆40Updated 5 years ago
- Useful resources for traffic prediction, including popular papers, datasets, tutorials, toolkits, and other helpful repositories.☆139Updated 5 months ago
- Code of STFGNN@AAAI-2021 (Spatial-Temporal/ Traffic data forecasting)☆219Updated 4 years ago
- [AAAI 2019] DeepSTN+: Context-aware Spatial-Temporal Neural Network for Crowd Flow Prediction in Metropolis☆66Updated 5 years ago
- Taxi Origin-Destination Demand Prediction☆53Updated 4 years ago
- This project is a collection of recent research in areas such as new infrastructure and urban computing, including white papers, academic…☆244Updated last year
- AAAI 2020. Spatial-Temporal Synchronous Graph Convolutional Networks: A New Framework for Spatial-Temporal Network Data Forecasting☆50Updated 2 years ago
- Traffic Flow Prediction with Vehicle Trajectories☆69Updated 4 years ago
- code for "Physical-Virtual Collaboration Graph Network for Station-Level Metro Ridership Prediction"☆42Updated 4 years ago
- ☆91Updated 2 years ago
- Attention Based Spatial-Temporal Graph Convolutional Networks for Traffic Flow Forecasting, AAAI 2019, pytorch version☆18Updated 2 years ago
- A collection of research on spatio-temporal data mining☆151Updated 4 months ago
- [AAAI'19] Spatiotemporal Multi-Graph Convolution Network for Ride-Hailing Demand Forecasting (Pytorch Replication)☆93Updated 4 years ago
- Pytorch Implementation of Urban Flow Magnifier (UrbanFM), KDD-19☆72Updated 4 years ago
- paper : <Spatial-Temporal Transformer Networks for Traffic Flow Forecasting>☆166Updated 4 years ago
- [CIKM 2021 Resource Paper] DL-Traff: Survey and Benchmark of Deep Learning Models for Urban Traffic Prediction (Grid Part)☆54Updated 2 years ago
- code for "Physical-Virtual Collaboration Graph Network for Station-Level Metro Ridership Prediction"☆55Updated 2 years ago
- AAAI 2021. GSNet: Learning Spatial-Temporal Correlations from Geographical and Semantic Aspects for Traffic Accident Risk Forecasting☆32Updated 2 years ago
- Spatiotemporal Adaptive Gated Graph Convolution Network for Urban Traffic Flow Forecasting☆69Updated 4 years ago
- Paper:Spatio-Temporal Graph Convolutional Networks: A Deep Learning Framework for Traffic Forecasting . Implementation of spatio-temporal…☆143Updated 4 years ago
- Code for Multi-graph convolutional network for short-term passenger flow forecasting in urban rail transit☆30Updated 4 years ago
- codes of Deep Spatio-Temporal Graph Convolutional Network for Traffic Accident Prediction☆73Updated 2 years ago
- ☆48Updated 5 years ago
- [ECMLPKDD21] Countrywide Origin-Destination Matrix Prediction and Its Application for COVID-19☆30Updated last year
- Dynamic Graph Convolutional Recurrent Network for Traffic Prediction: Benchmark and Solution, TKDD 2023☆299Updated 4 years ago
- The task is to restate a thesis and redo the experiment following the instructions in the paper.☆70Updated 4 years ago
- This is the repository for the collection of Deep Learning for Traffic Prediction Problems.☆230Updated last year