Abstract: Graph Neural Networks (GNNs) exploit topological structures—namely, node-to-node connections—to aggregate contextual information, thereby achieving strong performance across diverse domains.
Abstract: Degree centrality (DC) is a widely used metric that measures node importance in data space. A node–link diagram is a commonly used graph visualization to help viewers identify important ...
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