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Most Similar Biclique Search at Scale

Summary: Proposes the "most similar biclique" objective (local: containing query q; global: highest vertex similarity) to find high-similarity bicliques as more meaningful bipartite communities than max-edge bicliques. Develops Mosib, an exact solver with three graph-reduction and two similarity-first search rules, and Mosib-GloApp, a MinHash-based approximate divider for scalable global search, demonstrating practical efficiency on real networks. (summarized by gpt-5-mini on Feb 09 2026)

Paper ID
13775
Venue
VLDB
Year
2025
Pagerank
4.1945683e-05
Overall Rank
10,530 | 26.75%
DOI
10.14778/3717755.3717763

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