Self-Supervised Graph Representation Learning via Information Bottleneck

Graph representation learning has become a mainstream method for processing network structured data, and most graph representation learning methods rely heavily on labeling information for downstream tasks. Since labeled information is rare in the real world, adopting self-supervised learning to sol...

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Detalhes bibliográficos
Main Authors: Junhua Gu, Zichen Zheng, Wenmiao Zhou, Yajuan Zhang, Zhengjun Lu, Liang Yang
Formato: Artigo
Idioma:Inglês
Publicado em: MDPI AG 2022-03-01
Colecção:Symmetry
Assuntos:
graph neural network
graph representation learning
self-supervised learning
information bottleneck
mutual information estimation
node classification
Acesso em linha:https://www.mdpi.com/2073-8994/14/4/657
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