RQPool: A Novel Multi-Branch Graph-Level Anomaly Detection

Anomaly Detection (AD) is crucial across various domains, as it identifies irregularities or unusual patterns that, if quickly addressed, can prevent financial and data losses, protect health, and prevent disasters. Many systems such as social networks, communication systems, and biological network...

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Bibliographic Details
Main Authors: Aaron Alex Philip, Ziad Kobti
Format: Article
Language:English
Published: LibraryPress@UF 2025-05-01
Series:Proceedings of the International Florida Artificial Intelligence Research Society Conference
Subjects:
Online Access:https://journals.flvc.org/FLAIRS/article/view/138971
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