Abstract: Graph representation learning has numerous applications, ranging from social networks to bioinformatics, with a major focus on Graph Neural Networks (GNNs). However, many GNN models face ...
Abstract: Structural graph clustering (SCAN) is one of the most popular graph clustering paradigms, and has attracted plenty of attention recently. Existing solutions assume that the input graphs is ...
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