Abstract: Graph Convolutional Networks (GCN) and their variants utilize learnable weight matrices and nonlinear activation functions to extract features from data. The selection of activation ...
Node ranking, a fundamental task in network analysis, quantifies the relative significance of nodes within interconnected systems. Although recent advances in Graph Neural Networks (GNNs) have ...
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