HKUDS / STExplainer
[CIKM'2023] "STExplainer: Explainable Spatio-Temporal Graph Neural Networks"
☆46Updated 5 months ago
Related projects ⓘ
Alternatives and complementary repositories for STExplainer
- [ICML'2023] "GraphST: Spatial-Temporal Graph Learning with Adversarial Contrastive Adaptation"☆49Updated 4 months ago
- [ICML'2024] "FlashST: A Simple and Universal Prompt-Tuning Framework for Traffic Prediction"☆64Updated 2 months ago
- [CIKM'2023] "CL4ST: Spatio-Temporal Meta Contrastive Learning"☆21Updated 5 months ago
- [NeurIPS'2023] "GPT-ST: Generative Pre-Training of Spatio-Temporal Graph Neural Networks"☆73Updated 5 months ago
- [CIKM'2024] "EasyST: A Simple Framework for Spatio-Temporal Prediction"☆17Updated 2 months ago
- [WWW'2023] "AutoST: Automated Spatio-Temporal Graph Contrastive Learning"☆60Updated last year
- [SIGIR'2024] "SelfGNN: Self-Supervised Graph Neural Networks for Sequential Recommendation"☆43Updated 5 months ago
- [ICDE'2024] "GraphAug: Graph Augmentation for Recommendation"☆19Updated 2 months ago
- [WWW'2024] "GraphPro: Graph Pre-training and Prompt Learning for Recommendation"☆53Updated 5 months ago
- [WWW'23] "AutoCF: Automated Self-Supervised Learning for Recommendation"☆49Updated 8 months ago
- [ICDE'23] "DGNN: Disentangled Graph Social Recommendation"☆19Updated last year
- [SIGIR'2023] "GFormer: Graph Transformer for Recommendation"☆70Updated 5 months ago
- TransGNN, SIGIR 2024☆37Updated 4 months ago
- ☆47Updated 3 years ago
- [ICDE'2022] "Spatial-Temporal Hypergraph Self-Supervised Learning for Crime Prediction"☆34Updated 2 years ago
- This repository includes the implementation of CAGCN and the experiments on link prediction/node classification☆51Updated last year
- [IJCAI'2023] "DSL: Denoised Self-Augmented Learning for Social Recommendation"☆26Updated 3 months ago
- ☆46Updated 5 months ago
- [WSDM'2023] "HGCL: Heterogeneous Graph Contrastive Learning for Recommendation"☆96Updated 2 weeks ago
- TREND: TempoRal Event and Node Dynamics for Graph Representation Learning. WWW-2022.☆33Updated 6 months ago
- ICDE2023-CLDG: Contrastive Learning on Dynamic Graphs☆15Updated last year
- [KDD'2023] "AdaGCL: Adaptive Graph Contrastive Learning for Recommendation"☆56Updated 8 months ago
- NeurIPS 2022, Revisiting Heterophily For Graph Neural Networks, official PyTorch implementation for Adaptive Channel Mixing (ACM) GNN fra…☆74Updated this week
- ☆98Updated last year
- [NeurIPS 2022] The official PyTorch implementation of "Neural Temporal Walks: Motif-Aware Representation Learning on Continuous-Time Dyna…☆52Updated last year
- ☆55Updated 2 years ago
- LHGNN: Link Prediction on Latent Heterogeneous Graphs☆11Updated last year
- [WSDM'2024 Oral] "DiffKG: Knowledge Graph Diffusion Model for Recommendation"☆86Updated 3 weeks ago
- ☆11Updated 2 years ago
- Kolmogorov Arnold Networks (KANs) for Graph Neural Networks (GNNs) and Tasks on Graphs☆56Updated last month