DrownFish19 / CorrSTN
A correlation information-based spatiotemporal network for traffic flow forecasting
☆29Updated last year
Alternatives and similar repositories for CorrSTN:
Users that are interested in CorrSTN are comparing it to the libraries listed below
- Dual Dynamic Spatial-Temporal Graph Convolution Network for Traffic Prediction☆44Updated 2 years ago
- A pytorch re-implementation of STFGNN☆27Updated 2 years ago
- ☆38Updated 2 years ago
- ☆21Updated 11 months ago
- This is a Pytorch implementation of Traffic Transformer. Now the corresponding paper is available online at☆25Updated 2 years ago
- ASTGCN, LSTM, GCN LSTM with fused result from previous week, day, hour☆20Updated 2 years ago
- [Neural Networks] PDG2Seq: Periodic Dynamic Graph to Sequence model for Traffic Flow Prediction☆13Updated last month
- Spatial–Temporal Dynamic Graph Convolutional Network With Interactive Learning for Traffic Forecasting☆62Updated last week
- ☆38Updated 3 years ago
- ☆43Updated 2 years ago
- An efficient spatial-temporal transformer with temporal aggregation and spatial memory for traffic forecasting☆23Updated last week
- [ICDE'2023] When Spatio-Temporal Meet Wavelets: Disentangled Traffic Forecasting via Efficient Spectral Graph Attention Networks☆89Updated last month
- ☆13Updated 2 years ago
- ☆77Updated last year
- Display of data sets and core code in STCGCN☆23Updated 2 years ago
- ☆64Updated 3 years ago
- [This repo will NOT be maintained until further notice. Sorry for the inconvencience.] Baselines for Traffic Flow Prediction. (HA, ARIMA,…☆20Updated 4 years ago
- Code of “STG4Traffic: A Survey and Benchmark of Spatial-Temporal Graph Neural Networks for Traffic Prediction”.☆69Updated 9 months ago
- ☆73Updated 2 years ago
- This is a PyTorch implementation of STGAGRTN in the Spatial-Temporal Graph Attention Gated Recurrent Transformer Network for Traffic Flow…☆16Updated last year
- ☆14Updated 2 years ago
- [Pattern Recognition] Decomposition Dynamic Graph Conolutional Recurrent Network for Traffic Forecasting☆81Updated 5 months ago
- [Neural Networks] RGDAN: A random graph diffusion attention network for traffic prediction☆33Updated 5 months ago
- ☆26Updated last year
- AAAI 2021. GSNet: Learning Spatial-Temporal Correlations from Geographical and Semantic Aspects for Traffic Accident Risk Forecasting☆32Updated 2 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
- Spatiotemporal Adaptive Gated Graph Convolution Network for Urban Traffic Flow Forecasting☆70Updated 4 years ago
- Code for Multi-graph convolutional network for short-term passenger flow forecasting in urban rail transit☆30Updated 4 years ago
- ☆14Updated 3 years ago
- ☆19Updated 3 years ago