Attribute Network Representation Learning Based on Global Attention

Attribute Network Representation Learning Based on Global Attention

The attribute network not only has complex topology,its nodes also contain rich attribute information.Attribute network represent learning methods simultaneously extracts network topology and node attribute information to learn low-dimensional vector embedding of large attribute networks.It has very...

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Bibliographic Details
Main Author:	XU Ying-kun, MA Fang-nan, YANG Xu-hua, YE Lei
Format:	Article
Language:	zho
Published:	Editorial office of Computer Science 2021-12-01
Series:	Jisuanji kexue
Subjects:	global attention mechanism\|convolutional neural network\|structure embedding\|attribute embedding\|joint embedding
Online Access:	https://www.jsjkx.com/fileup/1002-137X/PDF/1002-137X-2021-12-188.pdf

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