An interpretable graph neural network for real-world satellite power system anomaly detection based on graph filtering
一馬 宮地, Fujin Wang, Zhibin Zhao, Zhi Zhai, Xuefeng Chen
Topics & Concepts
InterpretabilityComputer scienceAnomaly detectionAutoencoderGraphArtificial intelligenceData miningMissing dataDeep learningMachine learningTheoretical computer scienceAnomaly Detection Techniques and ApplicationsPower System Reliability and MaintenanceElectricity Theft Detection Techniques