Unsupervised Data Anomaly Detection Based on Graph Neural Network

Ning Wang; Zheng Wang; Yongwen Gong; Zhenlin Huang; Xing Wen; Haitao Zeng

doi:10.1007/978-3-031-31860-3_57

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Unsupervised Data Anomaly Detection Based on Graph Neural Network

Ning Wang Zheng Wang Yongwen Gong Zhenlin Huang Zhenlin Huang Xing Wen Haitao Zeng

Year: 2023 Lecture notes on data engineering and communications technologies Pages: 552-564 Publisher: Springer International Publishing

DOI: 10.1007/978-3-031-31860-3_57

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Keywords:

Anomaly detection Computer science Artificial intelligence Graph Artificial neural network Abnormality Domain (mathematical analysis) Machine learning Pattern recognition (psychology) Deep learning Unsupervised learning Process (computing) Data mining Labeled data Theoretical computer science

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Anomaly Detection Techniques and Applications

Physical Sciences → Computer Science → Artificial Intelligence

Electricity Theft Detection Techniques

Physical Sciences → Engineering → Electrical and Electronic Engineering

Power System Reliability and Maintenance

Physical Sciences → Engineering → Safety, Risk, Reliability and Quality

Unsupervised Data Anomaly Detection Based on Graph Neural Network

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