DataFunSummit
Aug 29, 2022 · Artificial Intelligence
Graph Neural Networks for Anomaly Detection: Scenarios, Methods, and Real‑World Applications
This article reviews how graph neural networks can be applied to anomaly detection across various domains, explains spectral and spatial GNN approaches, introduces robust models such as AMNet and PathNet, and showcases practical case studies in finance, gaming, and medical EEG analysis.
Anomaly DetectionGraph Neural Networksapplications
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