Abstract: GNN-based anomaly detection is one of the most critical security strategies protecting industrial control systems (ICSs) from external attacks. Existing studies mainly focus on how to ...
Abstract: Graph Convolutional Networks (GCNs) have been widely studied for semi-supervised learning tasks. It is known that the graph convolution operations in most of existing GCNs are composed of ...
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