hpi-sam / GNN-SpaceTimeGraphs
Graph Neural Networks utilization for Spatiotemporal graphs. These methods will be applied into the problem of forecasting traffic flow on PEMS-Bay, METR-LA and Seattle Loop Datasets
☆18Updated 4 years ago
Alternatives and similar repositories for GNN-SpaceTimeGraphs:
Users that are interested in GNN-SpaceTimeGraphs are comparing it to the libraries listed below
- Graph Markov Network for Traffic Forecasting with Missing Data☆29Updated 4 years ago
- Spatiotemporal Adaptive Gated Graph Convolution Network for Urban Traffic Flow Forecasting☆69Updated 4 years ago
- Taxi Origin-Destination Demand Prediction☆53Updated 4 years ago
- ☆48Updated 5 years ago
- PyTorch implementation of STGCN☆73Updated 5 years ago
- AAAIA2020-Accident Forecasting Experiments Setups☆41Updated 4 years ago
- Transportation data online prediction☆48Updated 3 years ago
- Papers on Spatial-Temporal Graph Neural Networks☆26Updated 2 years ago
- The code of AAAI2021 paper of HGCN for Traffic Forecasting☆93Updated 2 years ago
- code for "Physical-Virtual Collaboration Graph Network for Station-Level Metro Ridership Prediction"☆54Updated 2 years ago
- Modifications to Graph Wavenet☆101Updated 5 years ago
- Attentive Traffic Flow Machines☆58Updated 4 years ago
- Code for Paper "Multi-task Adversarial Spatial-Temporal Networks for Crowd Flow Prediction"☆20Updated 2 years ago
- This is the official release code of AAAI2023 accepted paper: "Spatial temporal Neural Structural Causal Models for Bike Flow Prediction"☆36Updated 2 years ago
- ☆42Updated 3 years ago
- An end-to-end deep learning model for spatial-temporal prediction☆34Updated 3 years ago
- ☆13Updated 6 years ago
- Code for Multi-graph convolutional network for short-term passenger flow forecasting in urban rail transit☆30Updated 4 years ago
- The pytorch implementation of Traffic Flow Prediction via Spatial Temporal Graph Neural Network☆130Updated 2 weeks ago
- ☆117Updated last year
- ☆89Updated 2 years ago
- Codes for RiskSeq-TKDE☆20Updated 4 years ago
- Multi-Attention Temporal Graph Convolution Network for Traffic Flow Forecasting☆18Updated 2 years ago
- AAAI 2020. Spatial-Temporal Synchronous Graph Convolutional Networks: A New Framework for Spatial-Temporal Network Data Forecasting☆11Updated 5 years ago
- ☆19Updated 4 years ago
- A PyTorch implementation of T-GCN☆62Updated last year
- ☆25Updated 4 years ago
- [ICDE'20] Predicting Origin-Destination Flow via Multi-Perspective Graph Convolutional Network (Pytorch Replication)☆20Updated 3 years ago
- Machine learning for transportation data imputation and prediction.☆40Updated 5 years ago
- traffic flow prediction☆23Updated 2 years ago