Structural Adversarial Variational Auto-Encoder for Attributed Network Embedding

As most networks come with some content in each node, attributed network embedding has aroused much research interest. Most existing attributed network embedding methods aim at learning a fixed representation for each node encoding its local proximity. However, those methods usually neglect the glob...

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Autors principals:	Junjian Zhan, Feng Li, Yang Wang, Daoyu Lin, Guangluan Xu
Format:	Artigo
Idioma:	Inglês
Publicat:	MDPI AG 2021-03-01
Col·lecció:	Applied Sciences
Matèries:	network embedding adversarial training variational auto-encoder graph convolutional network
Accés en línia:	https://www.mdpi.com/2076-3417/11/5/2371
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