Abstract: Edge prediction (EP) is a long-standing and fundamental task in graph-structured data analysis, and has served as a key driver in the advancement of graph learning. Traditional EP methods ...
Abstract: Graph neural networks (GNNs) that collect information from neighbors are commonly utilized in semi-supervised learning contexts. In particular, a significant body of research has been ...
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