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Why It Matters
Detection of overlapping communities is essential for modelling networks in which nodes participate simultaneously in multiple structural or functional groups.
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Discovered via ArXiv and published by ArXiv.
Key Claims
Original description
Detection of overlapping communities is essential for modelling networks in which nodes participate simultaneously in multiple structural or functional groups. Existing graph neural network approaches commonly rely on local message passing, which can obscure community boundaries through smoothing and limit the representation of structurally relevant long-range dependencies. We introduce Diffusion-Induced Spatial Attention Community Detection (DISCO), a deep-learning framework that combines a structural prior derived from influence spreading dynamics, sparse multi-head attention, and non-negati...
Discovered via ArXiv
Research papers and preprints from arXiv.
Publisher: arxiv.org
ID: http://arxiv.org/abs/2609.26737v1 · Indexed about 2 hours ago