Yanwanyu Xi

LRGR: Self-Supervised Incomplete Multi-View Clustering via Local Refinement and Global Realignment

Incomplete Multi-View Clustering (IMVC) aims to explore comprehensive representations from multiple views with missing samples. Recent studies have revealed that IMVC methods benefit from Graph Convolutional Network (GCN) in achieving robust feature imputation and effective representation learning.