Dynamic Node Privacy Feature Decoupling Graph Autoencoder Based on Attention Mechanism

Graph autoencoders’ inherent capability to capture node feature correlations poses significant privacy risks through attackers inference. Previous feature decoupling approaches predominantly apply uniform privacy protection across nodes, disregarding the varying sensitivity levels inherent in graph...

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Bibliographic Details

Published in:	Applied sciences Vol. 15; no. 12; p. 6489
Main Authors:	Huang, Yikai, Tang, Jinchuan, Dang, Shuping
Format:	Journal Article
Language:	English
Published:	Basel MDPI AG 01.06.2025
Subjects:	attention graph autoencoder Hypothesis testing Methods Neural networks Privacy privacy decouple Privacy, Right of privacy-utility trade-off Social networks
ISSN:	2076-3417, 2076-3417
Online Access:	Get full text
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