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Neighborhood-based Hypergraph Core Decomposition

Summary: Proposes neighborhood-based core decomposition: hierarchical neighborhood-cohesive subhypergraphs that avoid lossy clique/bipartite reductions and correct degree-core's ignorance of neighborhood size. Presents Peel, E-Peel and scalable Local-core(P) (27M nodes,17M hyperedges in-memory in 91s) and a combined (neighborhood,degree)-core via Local-core+Peel, showing superior results for disease intervention and densest-subhypergraph extraction. (summarized by gpt-5-mini on Feb 09 2026)

Paper ID
13060
Venue
VLDB
Year
2023
Pagerank
5.4216989e-05
Overall Rank
5,589 | 61.12%
DOI
10.14778/3598581.3598582

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