From Representation to Clusters: A Contrastive Learning Approach for Attributed Hypergraph Clustering

Li Ni, Shuaikang Zeng, Lin Mu +1

Contrastive learning has demonstrated strong performance in attributed hypergraph clustering. Typically, existing methods based on contrastive learning first learn node embeddings…