Abstract: The node classification in graphs aims to predict the categories of unlabeled nodes utilizing a small set of labeled nodes. However, weighted graphs often contain noisy edges and anomalous ...
Abstract: Graph Neural Networks (GNNs) are able to discriminate and retain information about the intrinsic properties of nodes, their position in the graph structure, and their relationships to other ...
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