Graph neural networks (GNNs) have emerged as a powerful framework for analyzing and learning from structured data represented as graphs. GNNs operate directly on graphs, as opposed to conventional ...
Community search has emerged as a fundamental task in the analysis of large-scale graphs and social networks, where the aim is to efficiently extract subgraphs that are both structurally cohesive and ...
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