Hypergraph Contrastive Learning
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Benchmarks
Twitter-HyDrug-UR
Most implemented
MMHCL: Multi-Modal Hypergraph Contrastive Learning for Recommendation
Hypergraph Contrastive Learning for Drug Trafficking Community Detection
Augmentations in Hypergraph Contrastive Learning: Fabricated and Generative
Papers
BHyGNN+: Unsupervised Representation Learning for Heterophilic Hypergraphs
Hypergraph Neural Networks (HyGNNs) have demonstrated remarkable success in modeling higher-order relationships among entities. However, their performance often degrades on heterophilic hypergraphs, where nodes connected…
Hypergraph Contrastive LearningSelf-Supervised LearningRepresentation LearningDualHNIE: Dual-Channel Hypergraph Learning for Node Importance Estimation in Heterogeneous Knowledge Graphs
Estimating node importance in heterogeneous knowledge graphs is a fundamental problem underlying recommendation, search, and knowledge decision systems. However, most existing methods rely on pairwise message passing mec…
Hypergraph Contrastive LearningRepresentation LearningKnowledge GraphsHypergraph Contrastive Learning for both Homophilic and Heterophilic Hypergraphs
Hypergraphs, as a generalization of traditional graphs, naturally capture high-order relationships. In recent years, hypergraph neural networks (HNNs) have been widely used to capture complex high-order relationships. Ho…
Hypergraph Contrastive LearningMMHCL: Multi-Modal Hypergraph Contrastive Learning for Recommendation
The burgeoning presence of multimodal content-sharing platforms propels the development of personalized recommender systems. Previous works usually suffer from data sparsity and cold-start problems, and may fail to adequ…
Contrastive LearningHypergraph Contrastive LearningRecommendation SystemsPatch-Wise Hypergraph Contrastive Learning with Dual Normal Distribution Weighting for Multi-Domain Stain Transfer
Virtual stain transfer leverages computer-assisted technology to transform the histochemical staining patterns of tissue samples into other staining types. However, existing methods often lose detailed pathological infor…
Contrastive LearningHypergraph Contrastive LearningMulti-Channel Hypergraph Contrastive Learning for Matrix Completion
Rating is a typical user explicit feedback that visually reflects how much a user likes a related item. The (rating) matrix completion is essentially a rating prediction process, which is also a significant problem in re…
Contrastive LearningHypergraph Contrastive LearningMatrix CompletionRecommendation Systems