Scalable Approximate Biclique Counting over Large Bipartite Graphs
Summary: Reduce (p,q)-biclique counting to counting (p,q)-brooms — a spanning-tree proxy counted via graph-coloring and efficient dynamic programming. Use DP intermediates for unbiased sampling with provable error bounds; yields up to 8× error reduction and 50× speedup on real bipartite graphs. (summarized by gpt-5-mini on Mar 13 2026)
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Authors
- 1. Jingbang Chen (Chinese University of Hong Kong; SLAI)
- 2. Weinuo Li (Zhejiang University)
- 3. Yingli Zhou (Chinese University of Hong Kong)
- 4. Hangrui Zhou (Tsinghua University)
- 5. Qiuyang Mang (Chinese University of Hong Kong)
- 6. Can Wang (Zhejiang University)
- 7. Yixiang Fang (Chinese University of Hong Kong)
- 8. Chenhao Ma (Chinese University of Hong Kong)
BibTeX Citation
@article{chen_vldb26,
title = {{Scalable Approximate Biclique Counting over Large Bipartite Graphs}},
author = {Chen, Jingbang and Li, Weinuo and Zhou, Yingli and Zhou, Hangrui and Mang, Qiuyang and Wang, Can and Fang, Yixiang and Ma, Chenhao},
journal = {PVLDB},
series = {{VLDB} '26},
volume = {19},
number = {4},
pages = {576--588},
doi = {10.14778/3785297.3785301},
url = {https://doi.org/10.14778/3785297.3785301},
year = {2026}
}
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