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ENTITY Knowledge-Assisted Multi-Graph Dependency Learning for Multivariate Time Series Anomaly Detection in Multi-Stage Industrial Processes

Knowledge-Assisted Multi-Graph Dependency Learning for Multivariate Time Series Anomaly Detection in Multi-Stage Industrial Processes

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  1. TOOL · CL_151885 ·

    New framework uses process knowledge to improve industrial anomaly detection

    Researchers have developed a novel framework for anomaly detection in industrial processes using graph neural networks. This approach explicitly incorporates process knowledge into graph learning to better model complex…