Structure Fusion Based on Graph Convolutional Networks for Node Classification in Citation Networks

Structure Fusion Based on Graph Convolutional Networks for Node Classification in Citation Networks

Suffering from the multi-view data diversity and complexity, most of the existing graph convolutional networks focus on the networks’ architecture construction or the salient graph structure preservation for node classification in citation networks and usually ignore capturing the complete...

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Bibliographic Details
Main Authors:	Guangfeng Lin, Jing Wang, Kaiyang Liao, Fan Zhao, Wanjun Chen
Format:	Article
Language:	English
Published:	MDPI AG 2020-03-01
Series:	Electronics
Subjects:	structure fusion graph convolutional networks node classification citation networks
Online Access:	https://www.mdpi.com/2079-9292/9/3/432

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