Abstract: Graph Neural Networks (GNNs) have become widely popular across various applications, with their vulnerability to adversarial attacks being a key concern. Among the different types of graph ...
Abstract: Existing ac/dc power flow computations necessitate sequential convergence-oriented trial-and-error under various dc control modes, rising computational ...
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