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Found 2 papers, 1 papers with code
Stationary Diffusion State Neural Estimation for Multiview Clustering
Meanwhile, instead of using auto-encoder in most unsupervised learning graph neural networks, SDSNE uses a co-supervised strategy with structure information to supervise the model learning.
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Multiview Clustering
on Multilingual Reuters
Graph View-Consistent Learning Network
The supervised loss uses the known labeled set, while a view-consistent loss is applied to the two views to obtain the consistent representation and a pseudo-label loss is designed by using the common high-confidence predictions.
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