wumingyao / MADGCN
☆10Updated 3 years ago
Related projects: ⓘ
- AAAI 2021. GSNet: Learning Spatial-Temporal Correlations from Geographical and Semantic Aspects for Traffic Accident Risk Forecasting☆27Updated last year
- Pytorch Implementation of DeepLGR, ECML-PKDD-20☆10Updated 4 years ago
- [ECMLPKDD21] Countrywide Origin-Destination Matrix Prediction and Its Application for COVID-19☆28Updated last year
- ☆53Updated 2 years ago
- Paper & Code & Dataset Collection of Spatial-Temporal Data Mining.☆97Updated 2 months ago
- Traffic Flow Prediction with Vehicle Trajectories☆59Updated 3 years ago
- ☆46Updated 2 years ago
- This is a Pytorch implementation of Traffic Transformer. Now the corresponding paper is available online at☆21Updated last year
- Machine learning for transportation data imputation and prediction.☆40Updated 4 years ago
- The codes and data of paper "Matrix Factorization for Spatio-Temporal Neural Networks with Applications to Urban Flow Prediction"☆23Updated last year
- ☆13Updated 3 years ago
- Code for Multi-graph convolutional network for short-term passenger flow forecasting in urban rail transit☆29Updated 4 years ago
- ☆17Updated last year
- When Will We Arrive? A Novel Multi-Task Spatio-Temporal Attention Network Based on Individual Preference for Estimating Travel Time☆27Updated last year
- [AAAI'22] Event-Aware Multimodal Mobility Nowcasting☆12Updated 2 years ago
- ST-SSL (STSSL): Spatio-Temporal Self-Supervised Learning for Traffic Flow Forecasting/Prediction☆137Updated 2 months ago
- ☆36Updated 2 years ago
- code for "Physical-Virtual Collaboration Graph Network for Station-Level Metro Ridership Prediction"☆38Updated 3 years ago
- ☆69Updated last year
- few-shot models for short-term traffic prediction☆16Updated last year
- Source code of implementing spatial-temporal zero-inflated negative binomial network for trip demand prediction☆22Updated 2 years ago
- The codes and data of paper "Curb-GAN: Conditional Urban Traffic Estimation through Spatio-Temporal Generative Adversarial Networks"☆31Updated 4 years ago
- Pytorch implementation of Spatoi-temporal Differential Equation Network (STDEN).☆30Updated 2 years ago
- Attention Based Spatial-Temporal Graph Convolutional Networks for Traffic Flow Forecasting, AAAI 2019, pytorch version☆16Updated last year
- Code for paper "Spatio-Temporal Knowledge Transfer for Urban Crowd Flow Prediction via Deep Attentive Adaptation Networks"☆11Updated 3 years ago
- ☆13Updated 3 years ago
- [TKDE 2021 Paper] DeepCrowd: A Deep Model for Large-Scale Citywide Crowd Density and Flow Prediction☆14Updated 8 months ago
- The codes and data of paper "Urban Traffic Prediction from Spatio-Temporal Data Using Deep Meta Learning"☆16Updated 5 years ago
- PyTorch implementaion of Spatial-Temporal Sequence to Sequence model.☆15Updated 3 years ago
- Repo for CrossTReS: Cross-city Transfer Learning for Traffic Prediction via Source Region Selection☆18Updated last year