Abstract: With the advancements in technology and monitoring tools, we often encounter multivariate graph signals, which can be seen as the realizations of multivariate graph processes, and revealing ...
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 ...
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