Litcius/Paper detail

GRAM: An interpretable approach for graph anomaly detection using gradient attention maps

Yifei Yang, Peng Wang, Xiaofan He, Dongmian Zou

2024Neural Networks13 citationsDOI

Topics & Concepts

Anomaly detectionArtificial intelligenceComputer scienceGraphPattern recognition (psychology)Anomaly (physics)Theoretical computer sciencePhysicsCondensed matter physicsAnomaly Detection Techniques and ApplicationsComplex Network Analysis TechniquesAdvanced Graph Neural Networks
GRAM: An interpretable approach for graph anomaly detection using gradient attention maps | Litcius