Abstract: Dynamic graphs arise in various real-world applications, and it is often welcomed to model the dynamics in continuous time domain for its flexibility. This paper aims to design an ...
Abstract: This article surveys heuristic-based and learning-based approaches for constructing adjacency matrices in Graph Neural Network (GNN)-based anomaly detection for multivariate time series (MTS ...
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