15 citations · 19 across the 3 of their papers we have counts for
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cs.LG2023
Multi-View Graph Representation Learning Beyond Homophily
Bei Lin, You Li, Ning Gui +2
Unsupervised graph representation learning(GRL) aims to distill diverse graph information into task-agnostic embeddings without label supervision. Due to a lack of support from lab…
cs.LG2022★ 15 cited
A-SFS: Semi-supervised Feature Selection based on Multi-task Self-supervision
Zhifeng Qiu, Wanxin Zeng, Dahua Liao +1
Feature selection is an important process in machine learning. It builds an interpretable and robust model by selecting the features that contribute the most to the prediction targ…