FIBLAB / 3D-DGCN
This is code for 3D Dynamic Graph Convolutional Networks for Crowd Flow Prediction
☆19Updated 5 years ago
Alternatives and similar repositories for 3D-DGCN
Users that are interested in 3D-DGCN are comparing it to the libraries listed below
Sorting:
- Spatiotemporal Adaptive Gated Graph Convolution Network for Urban Traffic Flow Forecasting☆70Updated 4 years ago
- ☆49Updated 2 years ago
- The code of AAAI2021 paper of HGCN for Traffic Forecasting☆93Updated 2 years ago
- ☆14Updated 3 years ago
- ☆14Updated 3 years ago
- 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"☆55Updated 2 years ago
- Code for Multi-graph convolutional network for short-term passenger flow forecasting in urban rail transit☆30Updated 4 years ago
- [CIKM'21] Spatio-Temporal-Categorical Graph Neural Networks for Fine-Grained Multi-Incident Co-Prediction☆17Updated 3 years ago
- ☆73Updated 2 years ago
- The codes and data of paper "Matrix Factorization for Spatio-Temporal Neural Networks with Applications to Urban Flow Prediction"☆26Updated last year
- code for "Physical-Virtual Collaboration Graph Network for Station-Level Metro Ridership Prediction"☆42Updated 4 years ago
- [AAAI'19] Spatiotemporal Multi-Graph Convolution Network for Ride-Hailing Demand Forecasting (Pytorch Replication)☆90Updated 3 years ago
- Source code of implementing spatial-temporal zero-inflated negative binomial network for trip demand prediction☆25Updated 3 years ago
- AAAI 2021. GSNet: Learning Spatial-Temporal Correlations from Geographical and Semantic Aspects for Traffic Accident Risk Forecasting☆32Updated 2 years ago
- A PyTorch implementation of T-GCN☆62Updated 2 years ago
- [ECMLPKDD21] Countrywide Origin-Destination Matrix Prediction and Its Application for COVID-19☆30Updated last year
- Dual Dynamic Spatial-Temporal Graph Convolution Network for Traffic Prediction☆44Updated 2 years ago
- ☆64Updated 3 years ago
- Machine learning for transportation data imputation and prediction.☆40Updated 5 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
- ☆41Updated 3 years ago
- [AAAI23] This it the official github for AAAI23 paper "Spatio-Temporal Meta-Graph Learning for Traffic Forecasting"☆115Updated last year
- Implementation of Graph Muti-Attention Network with PyTorch☆159Updated last year
- AAAIA2020-Accident Forecasting Experiments Setups☆41Updated 4 years ago
- This is the official release code of AAAI2023 accepted paper: "Spatial temporal Neural Structural Causal Models for Bike Flow Prediction"☆37Updated 2 years ago
- Code for the paper "Predicting origin-destination ride-sourcing demand with a spatio-temporal encoder-decoder residual multi-graph convol…☆15Updated 4 years ago
- Multi-sensor traffic flow forecasting.☆14Updated 2 years ago
- ☆15Updated last year
- [AAAI'22] Event-Aware Multimodal Mobility Nowcasting☆14Updated 2 years ago