JOURNAL ARTICLE
Pure-GNN: A Lightweight Purified Graph Neural Network against Adversarial Attacks
Xiao YangZhengqiang MaWeipeng HuangQiao ChengBowen ZhaoDalin ZhangQing Pei
Year: 2025 Journal: Tsinghua Science & Technology Publisher: Tsinghua University Press
Keywords:
Adversarial system Computer science Artificial neural network Graph Artificial intelligence Pattern recognition (psychology) Theoretical computer science
Metrics
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Cited By
0.00
FWCI (Field Weighted Citation Impact)
32
Refs
0.12
Citation Normalized Percentile
Is in top 1%
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Topics
Adversarial Robustness in Machine Learning
Physical Sciences → Computer Science → Artificial Intelligence
Anomaly Detection Techniques and Applications
Physical Sciences → Computer Science → Artificial Intelligence
Terrorism, Counterterrorism, and Political Violence
Social Sciences → Social Sciences → Sociology and Political Science
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