Enhancing Attributed Network Embedding via Similarity Measure

Network embedding aims to represent network structural and attributed information with low-dimensional vectors, which has been demonstrated to be beneficial for many network analysis tasks, such as link prediction, node classification and visualization. However, nodes in networks are commonly associ...

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Bibliographic Details
Published in:	IEEE Access
Main Authors:	Bin Yu, Yitong Li, Chen Zhang, Ke Pan, Yu Xie
Format:	Article
Language:	English
Published:	IEEE 2019-01-01
Subjects:	Attributed network embedding similarity measure high-order proximity
Online Access:	https://ieeexplore.ieee.org/document/8901188/

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