Abstract: Graph Neural Networks (GNNs) have gained momentum in graph representation learning and boosted the state of the art in a variety of areas, such as data mining (e.g., social network analysis ...
Abstract: Deep learning (DL) greatly enhances binary anomaly detection capabilities through effective statistical network characterization; nevertheless, the intrusion class differentiation ...
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