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BCviz: A Linear-Space Index for Mining and Visualizing Cohesive Bipartite Subgraphs

Summary: BCviz provides a linear-space, data-driven index for bipartite subgraphs, enabling exact maximum biclique search. A vertex order reveals density and connectivity to support connectivity-aware reduction, one-spot ordering, and linear-time bounds. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
7077
Venue
SIGMOD
Year
2025
Pagerank
5.3251649e-05
Overall Rank
9,049 | 37.92%
DOI
10.1145/3709666

Incoming Non-self Citations Over Time

Authors

BibTeX Citation

@inproceedings{ye_sigmod25,
        title = {{BCviz: A Linear-Space Index for Mining and Visualizing Cohesive Bipartite Subgraphs}},
        author = {Ye, Jianxiong and Zou, Zhaonian and Liu, Dandan and Yang, Bin and Liu, Xudong},
        series = {{SIGMOD} '25},
        booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
        publisher = {Association for Computing Machinery},
        doi = {10.1145/3709666},
        url = {https://dl.acm.org/doi/10.1145/3709666},
        year = {2025}
}

Incoming Citations (Sorted by Pagerank)

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Rank Citing Paper Year Venue Pagerank
10,369 Estimating Biclique Counts with Accuracy Guarantees 2026 SIGMOD 5.093636e-05
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