Abstract: Food safety is a major global concern, especially nowadays when food samples are increasingly complex. However, traditional detection methods only rely on a single type of data, which makes ...

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 ...