Kongwy5689 / STPGNNLinks
☆23Updated last year
Alternatives and similar repositories for STPGNN
Users that are interested in STPGNN are comparing it to the libraries listed below
Sorting:
- Code of “STG4Traffic: A Survey and Benchmark of Spatial-Temporal Graph Neural Networks for Traffic Prediction”.☆69Updated 11 months ago
- Dual Dynamic Spatial-Temporal Graph Convolution Network for Traffic Prediction☆47Updated 2 years ago
- ☆38Updated 2 years ago
- Spatial–Temporal Dynamic Graph Convolutional Network With Interactive Learning for Traffic Forecasting☆66Updated last month
- This is a Pytorch implementation of Traffic Transformer. Now the corresponding paper is available online at☆25Updated 2 years ago
- A correlation information-based spatiotemporal network for traffic flow forecasting☆29Updated last year
- ☆66Updated 3 years ago
- [Neural Networks] PDG2Seq: Periodic Dynamic Graph to Sequence model for Traffic Flow Prediction☆14Updated 3 weeks ago
- An efficient spatial-temporal transformer with temporal aggregation and spatial memory for traffic forecasting☆25Updated 2 months ago
- [Neural Networks] RGDAN: A random graph diffusion attention network for traffic prediction☆36Updated 3 weeks ago
- [ICDE'2023] When Spatio-Temporal Meet Wavelets: Disentangled Traffic Forecasting via Efficient Spectral Graph Attention Networks☆93Updated 3 months ago
- ☆43Updated 3 years ago
- A pytorch re-implementation of STFGNN☆27Updated 2 years ago
- ☆14Updated 2 years ago
- ☆26Updated 2 years ago
- ☆76Updated last year
- This is a PyTorch implementation of STGAGRTN in the Spatial-Temporal Graph Attention Gated Recurrent Transformer Network for Traffic Flow…☆19Updated last year
- The repo is the official implementation for the paper: [MGCN: Mamba-Integrated Spatiotemporal Graph Convolutional Network for Long-Term T…☆15Updated 3 months ago
- ☆73Updated 2 years ago
- DSTAGNN: Dynamic Spatial-Temporal Aware Graph Neural Network for Traffic Flow Forecasting, which is accepted at ICML2022.☆173Updated 2 years ago
- [SIGKDD'2025] Efficient Large-Scale Traffic Forecasting with Transformers: A Spatial Data Management Perspective☆48Updated 6 months ago
- ☆20Updated last year
- The data of paper "Spatio-Temporal Self-Supervised Learning for Traffic Flow Prediction".☆32Updated last year
- This is the official code release of the following paper: Yicheng Zhou et al., Make Graph Neural Networks Great Again: A Generic Integrat…☆11Updated 9 months ago
- [CIKM'23] Official code for our paper "Spatio-Temporal Adaptive Embedding Makes Vanilla Transformer SOTA for Traffic Forecasting".☆183Updated last year
- My personal PyTorch framework for multivariate time series forecasting.☆92Updated 4 months ago
- ST-SSL (STSSL): Spatio-Temporal Self-Supervised Learning for Traffic Flow Forecasting/Prediction☆179Updated 6 months ago
- ☆19Updated 3 years ago
- [KDD'24] Official code for our paper "Heterogeneity-Informed Meta-Parameter Learning for Spatiotemporal Time Series Forecasting".☆55Updated 9 months ago
- Spatial-Temporal Graph ODE Neural Network☆114Updated 3 years ago