Multi-view representation model based on graph autoencoder

Graph representation learning is a hot topic in non-Euclidean data in various domains, such as social networks, biological networks, etc. When some data labels are missing, graph autoencoder and graph variational autoencoder can perform outstanding abilities on node clustering or link prediction tas...

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Bibliographic Details

Published in:	Information sciences Vol. 632; pp. 439 - 453
Main Authors:	Li, Jingci, Lu, Guangquan, Wu, Zhengtian, Ling, Fuqing
Format:	Journal Article
Language:	English
Published:	Elsevier Inc 01.06.2023
Subjects:	Graph autoencoder Graph representation learning Multi-view learning Unsupervised learning Graph representation learning Graph autoencoder Unsupervised learning Multi-view learning
ISSN:	0020-0255, 1872-6291
Online Access:	Get full text
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