HKUDS / AutoSTLinks
[WWW'2023] "AutoST: Automated Spatio-Temporal Graph Contrastive Learning"
☆66Updated 2 years ago
Alternatives and similar repositories for AutoST
Users that are interested in AutoST are comparing it to the libraries listed below
Sorting:
- [NeurIPS'2023] "GPT-ST: Generative Pre-Training of Spatio-Temporal Graph Neural Networks"☆84Updated last year
- [ICML'2023] "GraphST: Spatial-Temporal Graph Learning with Adversarial Contrastive Adaptation"☆56Updated 10 months ago
- [ICDE 2023] Dynamic hypergraph structure learning for traffic flow forecasting☆21Updated 3 years ago
- Code of “STG4Traffic: A Survey and Benchmark of Spatial-Temporal Graph Neural Networks for Traffic Prediction”.☆70Updated 3 months ago
- Spatial-Temporal Graph ODE Neural Network☆119Updated 3 years ago
- [AAAI23] This it the official github for AAAI23 paper "Spatio-Temporal Meta-Graph Learning for Traffic Forecasting"☆130Updated last year
- [ICML'2024] "FlashST: A Simple and Universal Prompt-Tuning Framework for Traffic Prediction"☆88Updated last year
- Summary of Spatio-Temporal Representation Learning Models.☆75Updated 2 years ago
- ☆48Updated 3 years ago
- [SIGKDD'2025] Efficient Large-Scale Traffic Forecasting with Transformers: A Spatial Data Management Perspective☆63Updated 3 months ago
- [CIKM'2023] "STExplainer: Explainable Spatio-Temporal Graph Neural Networks"☆54Updated last year
- The appendix and core code of model CauSTG, for accepted paper in KDD 2023.☆11Updated 2 years ago
- ☆45Updated 3 years ago
- Open-source code of TransGTR.☆12Updated last year
- WWW23-Learning Social Meta-knowledge for Nowcasting Human Mobility in Disaster☆17Updated 2 years ago
- The code of Dynamic Graph Learning Based on Hierarchical Memory for Origin-Destination Demand Prediction☆14Updated 3 years ago
- [ICDE'2022] "Spatial-Temporal Hypergraph Self-Supervised Learning for Crime Prediction"☆40Updated 3 years ago
- [SIGSPATIAL 2023] Revisiting Mobility Modeling with Graph: A Graph Transformer Model for Next Point-of-Interest Recommendation☆22Updated last year
- When Do Contrastive Learning Signals Help Spatio-Temporal Graph Forecasting? (SIGSPATIAL 2022)☆45Updated 2 years ago
- An efficient spatial-temporal transformer with temporal aggregation and spatial memory for traffic forecasting☆27Updated 6 months ago
- code for paper Multi-View Joint Graph Representation Learning for Urban Region Embedding. (to be updated)☆34Updated 4 years ago
- [Pattern Recognition] Decomposition Dynamic Graph Conolutional Recurrent Network for Traffic Forecasting☆87Updated last month
- [ICDE2023] A PyTorch implementation of Self-supervised Trajectory Representation Learning with Temporal Regularities and Travel Semantics…☆89Updated last year
- ☆19Updated 2 years ago
- "Graph Neural Controlled Differential Equations for Traffic Forecasting", AAAI 2022☆161Updated last year
- ☆24Updated 3 years ago
- ☆49Updated 3 years ago
- [KDD'24] Official code for our paper "Heterogeneity-Informed Meta-Parameter Learning for Spatiotemporal Time Series Forecasting".☆65Updated last year
- [Neural Networks] RGDAN: A random graph diffusion attention network for traffic prediction☆40Updated last month
- PyTorch implementation of CaST, NeurIPS-23.☆38Updated 4 months ago