nimingniming / gdn
☆11Updated 2 years ago
Related projects: ⓘ
- ☆36Updated 2 years ago
- [CIKM'21] Spatio-Temporal-Categorical Graph Neural Networks for Fine-Grained Multi-Incident Co-Prediction☆13Updated 2 years ago
- The codes and data of paper "Matrix Factorization for Spatio-Temporal Neural Networks with Applications to Urban Flow Prediction"☆23Updated last year
- Code for Paper "Multi-task Adversarial Spatial-Temporal Networks for Crowd Flow Prediction"☆20Updated 2 years ago
- Attentive Traffic Flow Machines☆56Updated 3 years ago
- An end-to-end deep learning model for spatial-temporal prediction☆33Updated 2 years ago
- code for "Physical-Virtual Collaboration Graph Network for Station-Level Metro Ridership Prediction"☆49Updated last year
- ☆69Updated last year
- Pytorch Implementation of DeepLGR, ECML-PKDD-20☆10Updated 4 years ago
- Code for Multi-graph convolutional network for short-term passenger flow forecasting in urban rail transit☆29Updated 4 years ago
- The code of AAAI2021 paper of HGCN for Traffic Forecasting☆83Updated 2 years ago
- Spatiotemporal Adaptive Gated Graph Convolution Network for Urban Traffic Flow Forecasting☆63Updated 3 years ago
- Source code of implementing spatial-temporal zero-inflated negative binomial network for trip demand prediction☆22Updated 2 years ago
- [ICDE'20] Predicting Origin-Destination Flow via Multi-Perspective Graph Convolutional Network (Pytorch Replication)☆16Updated 3 years ago
- ☆13Updated 2 years ago
- ☆13Updated 3 years ago
- Traffic Flow Prediction with Vehicle Trajectories☆59Updated 3 years ago
- ☆42Updated 4 years ago
- ☆8Updated 4 years ago
- ☆12Updated 6 years ago
- The pytorch code of DGCN(TITS)☆49Updated 2 years ago
- [ECMLPKDD21] Countrywide Origin-Destination Matrix Prediction and Its Application for COVID-19☆28Updated last year
- ☆46Updated 2 years ago
- ☆12Updated 2 years ago
- Code for the paper "Predicting origin-destination ride-sourcing demand with a spatio-temporal encoder-decoder residual multi-graph convol…☆13Updated 3 years ago
- AAAIA2020-Accident Forecasting Experiments Setups☆40Updated 3 years ago
- ☆53Updated 2 years ago
- AAAI 2021. GSNet: Learning Spatial-Temporal Correlations from Geographical and Semantic Aspects for Traffic Accident Risk Forecasting☆27Updated last year
- code for "Physical-Virtual Collaboration Graph Network for Station-Level Metro Ridership Prediction"☆38Updated 3 years ago
- The pytorch implementation of ST-GRAT: A Novel Spatio-temporal Graph Attention Network for Accurately Forecasting Dynamically Changing Ro…☆37Updated 3 years ago