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Butterfly Counting on Uncertain Bipartite Graphs

Summary: Formalizes the uncertain butterfly in bipartite graphs and the Uncertain Butterfly Counting problem; presents exact baselines UBFC and an improved IUBFC with lower complexity and pruning heuristics. Also offers two sampling-based approximations UBS and PES for quick count estimates; empirical evaluation across diverse edge-probability distributions demonstrates efficiency and practicality. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
12895
Venue
VLDB
Year
2022
Pagerank
7.1725638e-05
Overall Rank
3,723 | 74.46%
DOI
10.14778/3489496.3489502

Incoming Non-self Citations Over Time

Authors

BibTeX Citation

@article{zhou_vldb22,
        title = {{Butterfly Counting on Uncertain Bipartite Graphs}},
        author = {Zhou, Alexander and Wang, Yue and Chen, Lei},
        journal = {PVLDB},
        series = {{VLDB} '22},
        volume = {15},
        number = {2},
        pages = {211--223},
        doi = {10.14778/3489496.3489502},
        url = {https://doi.org/10.14778/3489496.3489502},
        year = {2022}
}

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