Abstract: Graph Convolutional Networks (GCNs) have emerged as a leading approach for semi-supervised node classification. However, due to the uneven distribution of labeled nodes in graphs, only a ...
Abstract: The current paper explores the problem of finding maximization of even multiplicative labeling in prism and stacked prism graphs, with a focus on real-life implementation in network ...
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