Aligning Dynamic Social Networks: An Optimization Over Dynamic Graph Autoencoder

Social network alignment, aligning different social networks on their common users, is receiving increasing attention from both academic and industry. Most of the existing studies consider the social network to be static and neglect its inherent dynamics. In fact, the dynamics of social networks con...

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Veröffentlicht in:	IEEE transactions on knowledge and data engineering Jg. 35; H. 6; S. 5597 - 5611
Hauptverfasser:	Sun, Li, Zhang, Zhongbao, Wang, Feiyang, Ji, Pengxin, Wen, Jian, Su, Sen, Yu, Philip S.
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	New York IEEE 01.06.2023 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Schlagworte:	Algorithms Alignment Convergence Decoding Design optimization Dynamics graph neural networks Heuristic algorithms network alignment network embedding Optimization Social networking (online) Social networks Solids Tensors
ISSN:	1041-4347, 1558-2191
Online-Zugang:	Volltext
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