HKUDS / STExplainerLinks
[CIKM'2023] "STExplainer: Explainable Spatio-Temporal Graph Neural Networks"
☆56Updated last year
Alternatives and similar repositories for STExplainer
Users that are interested in STExplainer are comparing it to the libraries listed below
Sorting:
- [ICML'2023] "GraphST: Spatial-Temporal Graph Learning with Adversarial Contrastive Adaptation"☆56Updated 10 months ago
- [WWW'2023] "AutoST: Automated Spatio-Temporal Graph Contrastive Learning"☆67Updated 2 years ago
- [NeurIPS'2023] "GPT-ST: Generative Pre-Training of Spatio-Temporal Graph Neural Networks"☆85Updated last year
- [ICML'2024] "FlashST: A Simple and Universal Prompt-Tuning Framework for Traffic Prediction"☆88Updated last year
- [CIKM'2024] "EasyST: A Simple Framework for Spatio-Temporal Prediction"☆18Updated last year
- [CIKM'2023] "CL4ST: Spatio-Temporal Meta Contrastive Learning"☆23Updated last year
- [ICDE 2023] Dynamic hypergraph structure learning for traffic flow forecasting☆21Updated 3 years ago
- The pytorch implementation of DisenPOI.☆21Updated 2 years ago
- Official PyTorch implementation for our SIGIR'24 paper Disentangled Contrastive Hypergraph Learning for Next POI Recommendation☆27Updated last year
- ☆45Updated 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☆23Updated last year
- Code of “STG4Traffic: A Survey and Benchmark of Spatial-Temporal Graph Neural Networks for Traffic Prediction”.☆74Updated 4 months ago
- ☆103Updated 2 years ago
- Open-source code of TransGTR.☆12Updated 2 years ago
- The official PyTorch implementation for 2024-ICASSP-Adaptive Spatial-Temporal Hypergraph Fusion Learning for Next POI Recommendation☆12Updated last year
- The code of Dynamic Graph Learning Based on Hierarchical Memory for Origin-Destination Demand Prediction☆14Updated 3 years ago
- Spatial-Temporal Graph ODE Neural Network☆120Updated 3 years ago
- "Graph Neural Controlled Differential Equations for Traffic Forecasting", AAAI 2022☆162Updated last year
- The appendix and core code of model CauSTG, for accepted paper in KDD 2023.☆11Updated 2 years ago
- [WSDM'2025] "DiffGraph: Heterogeneous Graph Diffusion Model"☆57Updated 5 months ago
- ☆24Updated 3 years ago
- [SIGIR'2024] "SelfGNN: Self-Supervised Graph Neural Networks for Sequential Recommendation"☆64Updated last year
- ST-SHN, IJCAI 2021☆18Updated 4 years ago
- [AAAI23] This it the official github for AAAI23 paper "Spatio-Temporal Meta-Graph Learning for Traffic Forecasting"☆132Updated last year
- TREND: TempoRal Event and Node Dynamics for Graph Representation Learning. WWW-2022.☆37Updated last year
- ☆49Updated 3 years ago
- ☆63Updated 4 years ago
- PyTorch implementation of CaST, NeurIPS-23.☆39Updated 5 months ago
- An awesome collection of causality-inspired graph neural networks.☆93Updated 11 months ago