Azusa-Yuan / fc-gaga-torchLinks
☆10Updated last year
Alternatives and similar repositories for fc-gaga-torch
Users that are interested in fc-gaga-torch are comparing it to the libraries listed below
Sorting:
- An efficient spatial-temporal transformer with temporal aggregation and spatial memory for traffic forecasting☆25Updated last month
- [Neural Networks] PDG2Seq: Periodic Dynamic Graph to Sequence model for Traffic Flow Prediction☆14Updated this week
- The repo is the official implementation for the paper: [MGCN: Mamba-Integrated Spatiotemporal Graph Convolutional Network for Long-Term T…☆14Updated 2 months ago
- source codes of TASSGN☆11Updated last year
- [ICDE'2023] When Spatio-Temporal Meet Wavelets: Disentangled Traffic Forecasting via Efficient Spectral Graph Attention Networks☆92Updated 2 months ago
- ☆26Updated 2 years ago
- Spatial–Temporal Dynamic Graph Convolutional Network With Interactive Learning for Traffic Forecasting☆63Updated 3 weeks ago
- ☆10Updated 2 months ago
- ☆11Updated 6 months ago
- [KDD'24] Official code for our paper "Heterogeneity-Informed Meta-Parameter Learning for Spatiotemporal Time Series Forecasting".☆52Updated 9 months ago
- A pytorch re-implementation of STFGNN☆27Updated 2 years ago
- Dual Dynamic Spatial-Temporal Graph Convolution Network for Traffic Prediction☆45Updated 2 years ago
- ☆22Updated last year
- ☆38Updated 2 years ago
- ☆73Updated 2 years ago
- ☆19Updated 3 years ago
- ☆13Updated 2 years ago
- When Do Contrastive Learning Signals Help Spatio-Temporal Graph Forecasting? (SIGSPATIAL 2022)☆43Updated 2 years ago
- Code for paper "Spatio-Temporal Knowledge Transfer for Urban Crowd Flow Prediction via Deep Attentive Adaptation Networks"☆13Updated 3 years ago
- [IJCAI'2022] FOGS: First-Order Gradient Supervision with Learning-based Graph for Traffic Flow Forecasting☆26Updated last year
- ☆49Updated 3 years ago
- This is a Pytorch implementation of Traffic Transformer. Now the corresponding paper is available online at☆25Updated 2 years ago
- Code for CIKM'23 "Cross-city Few-shot Traffic Forecasting via Traffic Pattern Bank"☆20Updated last year
- [SIGKDD'2025] Efficient Large-Scale Traffic Forecasting with Transformers: A Spatial Data Management Perspective☆43Updated 5 months ago
- [Neural Networks] RGDAN: A random graph diffusion attention network for traffic prediction☆35Updated this week
- [ICDE 2023] Dynamic hypergraph structure learning for traffic flow forecasting☆16Updated 2 years ago
- Spatial-Temporal Graph ODE Neural Network☆111Updated 3 years ago
- Code of “STG4Traffic: A Survey and Benchmark of Spatial-Temporal Graph Neural Networks for Traffic Prediction”.☆69Updated 10 months ago
- ☆13Updated last year
- ☆43Updated 3 years ago