Weili Wang

Hypergraph-Enhanced Contrastive Learning for Multi-View Clustering with Hyper-Laplacian Regularization

A hypergraph neural network (HGNN)-driven multi-view clustering framework that integrates inter-view contrastive learning with intra-hyperedge contrastive learning with a hyper-Laplacian manifold regularization, thereby enhancing the structural fidelity and discriminative power of the learned representations.