User Identity Linkage Across Social Networks by Heterogeneous Graph Attention Network Modeling

User Identity Linkage Across Social Networks by Heterogeneous Graph Attention Network Modeling

Today, social networks are becoming increasingly popular and indispensable, where users usually have multiple accounts. It is of considerable significance to conduct user identity linkage across social networks. We can comprehensively depict diversified characteristics of user behaviors, accurately...

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Bibliographic Details
Main Authors: Ruiheng Wang, Hongliang Zhu, Lu Wang, Zhaoyun Chen, Mingcheng Gao, Yang Xin
Format: Article
Language:English
Published: MDPI AG 2020-08-01
Series:Applied Sciences
Subjects:
user identity linkage
social network
heterogeneous graph
neural network
Online Access:https://www.mdpi.com/2076-3417/10/16/5478

Internet

https://www.mdpi.com/2076-3417/10/16/5478

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