usail-hkust / BigST
☆19Updated 6 months ago
Alternatives and similar repositories for BigST
Users that are interested in BigST are comparing it to the libraries listed below
Sorting:
- The appendix and core code of model CauSTG, for accepted paper in KDD 2023.☆10Updated last year
- An efficient spatial-temporal transformer with temporal aggregation and spatial memory for traffic forecasting☆23Updated 2 weeks ago
- [KDD'24] Official code for our paper "Heterogeneity-Informed Meta-Parameter Learning for Spatiotemporal Time Series Forecasting".☆51Updated 8 months ago
- [SIGKDD'2025] Efficient Large-Scale Traffic Forecasting with Transformers: A Spatial Data Management Perspective☆38Updated 4 months ago
- ☆10Updated last year
- ☆26Updated last year
- [Neural Networks] PDG2Seq: Periodic Dynamic Graph to Sequence model for Traffic Flow Prediction☆13Updated 2 months ago
- This is the official code release of the following paper: Yicheng Zhou et al., Make Graph Neural Networks Great Again: A Generic Integrat…☆11Updated 8 months ago
- ☆24Updated 8 months ago
- When Do Contrastive Learning Signals Help Spatio-Temporal Graph Forecasting? (SIGSPATIAL 2022)☆42Updated 2 years ago
- Code of “STG4Traffic: A Survey and Benchmark of Spatial-Temporal Graph Neural Networks for Traffic Prediction”.☆69Updated 10 months ago
- The offical code for 《A Time Series is Worth Five Experts: Heterogeneous Mixture of Experts for Traffic Flow Prediction》☆22Updated 7 months ago
- source codes of TASSGN☆11Updated last year
- Repository for ''Contextualizing MLP-Mixers Spatiotemporally for Urban Data Forecast at Scale''☆14Updated last year
- Code for CIKM'23 "Cross-city Few-shot Traffic Forecasting via Traffic Pattern Bank"☆19Updated last year
- [Neural Networks] RGDAN: A random graph diffusion attention network for traffic prediction☆33Updated 5 months ago
- ☆12Updated 11 months ago
- The repo is the official implementation for the paper: [MGCN: Mamba-Integrated Spatiotemporal Graph Convolutional Network for Long-Term T…☆14Updated last month
- [ICDE 2023] Dynamic hypergraph structure learning for traffic flow forecasting☆15Updated 2 years ago
- [CIKM 2023] MemDA: Forecasting Urban Time Series with Memory-based Drift Adaptation☆24Updated last year
- Spatial–Temporal Dynamic Graph Convolutional Network With Interactive Learning for Traffic Forecasting☆62Updated 2 weeks ago
- ☆19Updated 3 years ago
- [AAAI23] This it the official github for AAAI23 paper "Spatio-Temporal Meta-Graph Learning for Traffic Forecasting"☆115Updated last year
- The project for KDD24 paper 'Irregular Traffic Time Series Forecasting Based on Asynchronous Spatio-Temporal Graph Convolutional Networks…☆19Updated 8 months ago
- ☆19Updated 8 months ago
- ☆22Updated 11 months ago
- [IJCAI'2022] FOGS: First-Order Gradient Supervision with Learning-based Graph for Traffic Flow Forecasting☆26Updated last year
- [WWW'2023] "AutoST: Automated Spatio-Temporal Graph Contrastive Learning"☆65Updated last year
- [NeurIPS'2023] "GPT-ST: Generative Pre-Training of Spatio-Temporal Graph Neural Networks"☆78Updated 11 months ago
- [ICML'2024] "FlashST: A Simple and Universal Prompt-Tuning Framework for Traffic Prediction"☆76Updated 8 months ago