huogy / HSTGCNT
☆14Updated 2 years ago
Alternatives and similar repositories for HSTGCNT:
Users that are interested in HSTGCNT 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
- [ICDE'2023] When Spatio-Temporal Meet Wavelets: Disentangled Traffic Forecasting via Efficient Spectral Graph Attention Networks☆86Updated 3 weeks ago
- ☆38Updated 2 years ago
- ☆20Updated 10 months ago
- Spatial–Temporal Dynamic Graph Convolutional Network With Interactive Learning for Traffic Forecasting☆58Updated 5 months ago
- Display of data sets and core code in STCGCN☆22Updated 2 years ago
- An efficient spatial-temporal transformer with temporal aggregation and spatial memory for traffic forecasting☆22Updated 11 months ago
- A correlation information-based spatiotemporal network for traffic flow forecasting☆29Updated last year
- Code of “STG4Traffic: A Survey and Benchmark of Spatial-Temporal Graph Neural Networks for Traffic Prediction”.☆66Updated 9 months ago
- ☆26Updated last year
- ☆43Updated 2 years ago
- ☆19Updated 11 months ago
- My personal PyTorch framework for multivariate time series forecasting.☆87Updated last month
- [Neural Networks] RGDAN: A random graph diffusion attention network for traffic prediction☆32Updated 4 months ago
- ☆64Updated 3 years ago
- [AAAI23] This it the official github for AAAI23 paper "Spatio-Temporal Meta-Graph Learning for Traffic Forecasting"☆113Updated last year
- Spatial-Temporal Graph ODE Neural Network☆108Updated 3 years ago
- This is the official code release of the following paper: Yicheng Zhou et al., Make Graph Neural Networks Great Again: A Generic Integrat…☆10Updated 7 months ago
- [KDD'24] Official code for our paper "Heterogeneity-Informed Meta-Parameter Learning for Spatiotemporal Time Series Forecasting".☆49Updated 7 months ago
- [Neural Networks] PDG2Seq: Periodic Dynamic Graph to Sequence model for Traffic Flow Prediction☆13Updated last month
- The pytorch implementation of ST-GRAT: A Novel Spatio-temporal Graph Attention Network for Accurately Forecasting Dynamically Changing Ro…☆42Updated 3 years ago
- ☆25Updated last year
- [IJCAI'2022] FOGS: First-Order Gradient Supervision with Learning-based Graph for Traffic Flow Forecasting☆26Updated last year
- ☆13Updated 2 years ago
- [Pattern Recognition] Decomposition Dynamic Graph Conolutional Recurrent Network for Traffic Forecasting☆80Updated 4 months ago
- [SIGKDD'2025] Efficient Large-Scale Traffic Forecasting with Transformers: A Spatial Data Management Perspective☆34Updated 3 months ago
- This is a Pytorch implementation of Traffic Transformer. Now the corresponding paper is available online at☆25Updated 2 years ago
- ☆14Updated last year
- Code of “Dynamic Graph Convolutional Network with Attention Fusion for Traffic Flow Prediction”.☆16Updated 11 months ago