Open access
Aug 2026
From binary to general attributes: attributed hypergraph generation with realistic interplay between structure and attributes
NoAH is proposed, a stochastic hypergraph generative model for attributed hypergraphs that utilizes the core–fringe node hierarchy to model hyperedge formation as a series of node attachments and determines attachment probabilities based on node attributes.
Jaewan Chun, Seokbum Yoon, Minyoung Choe et al.
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