most citedLearnable Graph Convolutional Network and Feature Fusion for Multi-view Learning

7 citations · 10 across the 3 of their papers we have counts for

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cs.LG2023

Hyper-Laplacian Regularized Concept Factorization in Low-rank Tensor Space for Multi-view Clustering

Zixiao Yu, Lele Fu, Zhiling Cai +1

Tensor-oriented multi-view subspace clustering has achieved significant strides in assessing high-order correlations and improving clustering analysis of multi-view data. Neverthel…

cs.LG2022★ 3 cited

Subspace-Contrastive Multi-View Clustering

Fu Lele, Zhang Lei, Yang Jinghua +3

Most multi-view clustering methods are limited by shallow models without sound nonlinear information perception capability, or fail to effectively exploit complementary information…