dhxdla / AdpSTGCNLinks
The code of AdpSTGCN: Adaptive Spatial Temporal Graph Convolutional Network for Traffic Forecasting
☆15Updated last year
Alternatives and similar repositories for AdpSTGCN
Users that are interested in AdpSTGCN are comparing it to the libraries listed below
Sorting:
- [Neural Networks] PDG2Seq: Periodic Dynamic Graph to Sequence model for Traffic Flow Prediction☆22Updated 5 months ago
- An efficient spatial-temporal transformer with temporal aggregation and spatial memory for traffic forecasting☆29Updated 9 months ago
- ☆31Updated last year
- The repo is the official implementation for the paper: [MGCN: Mamba-Integrated Spatiotemporal Graph Convolutional Network for Long-Term T…☆22Updated last week
- [Neural Networks] RGDAN: A random graph diffusion attention network for traffic prediction☆40Updated 5 months ago
- [ICDE'2023] When Spatio-Temporal Meet Wavelets: Disentangled Traffic Forecasting via Efficient Spectral Graph Attention Networks☆108Updated 10 months ago
- This is a PyTorch implementation of STGAGRTN in the Spatial-Temporal Graph Attention Gated Recurrent Transformer Network for Traffic Flow…☆20Updated last year
- ☆10Updated 2 years ago
- ☆13Updated 10 months ago
- Spatial–Temporal Dynamic Graph Convolutional Network With Interactive Learning for Traffic Forecasting☆90Updated 8 months ago
- Dual Dynamic Spatial-Temporal Graph Convolution Network for Traffic Prediction☆48Updated 2 years ago
- ☆11Updated last year
- [SIGKDD'2025] Efficient Large-Scale Traffic Forecasting with Transformers: A Spatial Data Management Perspective☆78Updated 2 months ago
- [IJCAI 2024] This it the official github for IJCAI24 paper "Multi-Modality Spatio-Temporal Forecasting via Self-Supervised Learning"☆16Updated last year
- ☆20Updated 4 years ago
- source codes of TASSGN☆11Updated last year
- Code of “STG4Traffic: A Survey and Benchmark of Spatial-Temporal Graph Neural Networks for Traffic Prediction”.☆80Updated 6 months ago
- The code for Biased Temporal Convolution Graph Network for Time Series Forecasting with Missing Values.☆32Updated last year
- [IJCAI'24] Official code for our paper "Make Graph Neural Networks Great Again: A Generic Integration Paradigm of Topology-Free Patterns …☆14Updated 7 months ago
- Code of “Dynamic Graph Convolutional Network with Attention Fusion for Traffic Flow Prediction”.☆23Updated last year
- LCDFormer☆11Updated last year
- ☆29Updated 2 years ago
- [TITS2025] Pattern-Matching Dynamic Memory Network for Dual-Mode Traffic Prediction☆31Updated 5 months ago
- [AAAI'25] "Decomposed Spatio-Temporal Mamba for Long-Term Traffic Prediction"☆17Updated 8 months ago
- A correlation information-based spatiotemporal network for traffic flow forecasting☆28Updated last year
- ☆11Updated last year
- [Pattern Recognition] Decomposition Dynamic Graph Conolutional Recurrent Network for Traffic Forecasting☆93Updated 5 months ago
- ☆23Updated last year
- This is a Pytorch implementation of Traffic Transformer. Now the corresponding paper is available online at☆26Updated 2 years ago
- PyTorch implementation of CaST, NeurIPS-23.☆41Updated 7 months ago