Joint learning of data recovering and graph contrastive denoising for incomplete multi-view clustering

Published: 01 Jan 2024, Last Modified: 13 Nov 2024Inf. Fusion 2024EveryoneRevisionsBibTeXCC BY-SA 4.0
Abstract: Highlights•UGCF integrates data recovery, feature learning, and contrastive denoising for IMC.•UGCF introduces a graph contrastive constraint, ensuring the compactness of features.•UGCF removes the heterogeneity and noise of views by preserving intrinsic structure.•The experimental results prove that UGCF surpasses state-of-the-art baselines.
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