19 citations · 31 across the 6 of their papers we have counts for
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cs.LG2022★ 19 cited
Multi-view Graph Convolutional Networks with Differentiable Node Selection
Zhaoliang Chen, Lele Fu, Shunxin Xiao +3
Multi-view data containing complementary and consensus information can facilitate representation learning by exploiting the intact integration of multi-view features. Because most…
cs.CV2022★ 7 cited
Learnable Graph Convolutional Network and Feature Fusion for Multi-view Learning
Zhaoliang Chen, Lele Fu, Jie Yao +3
In practical applications, multi-view data depicting objectives from assorted perspectives can facilitate the accuracy increase of learning algorithms. However, given multi-view da…
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…