Abstract: Graph neural networks (GNNs) have shown promise in graph classification tasks, but they struggle to identify out-of-distribution (OOD) graphs often encountered in real-world scenarios, ...
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With just 10 days to go until Election Day, four candidates in Portage met with residents to make their final appeals to voters. Aircraft hydraulic manufacturers celebrate over 50 years in Kalamazoo ...
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 ...
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