Abstract: Capturing complex intervariable relationships is crucial for anomaly detection for multivariate time-series (MTS) data. In recent years, graph neural networks (GNNs) have been introduced to ...

Abstract: Soft sensor of silicon content (SI) in hot metal is challenging due to the nonlinearity, dynamics, and non-Euclidean coupling relationship between process variables. The intervariable ...