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Efficient Algorithms for Pseudoarboricity Computation in Large Static and Dynamic Graphs

Summary: Two new approximation algorithms with provable guarantees that drastically reduce parametric max-flow calls for computing pseudoarboricity, improving accuracy and efficiency over prior 2-approx methods. Complementary dynamic maintenance (two general, two insertion-only) with experiments on 195 real graphs showing strong scalability and practicality. (summarized by gpt-5-mini on Feb 09 2026)

Paper ID
13682
Venue
VLDB
Year
2024
Pagerank
5.2755515e-05
Overall Rank
9,387 | 35.60%
DOI
10.14778/3681954.3681958

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BibTeX Citation

@article{zhang_vldb24,
        title = {{Efficient Algorithms for Pseudoarboricity Computation in Large Static and Dynamic Graphs}},
        author = {Zhang, Yalong and Li, Rong-Hua and Zhang, Qi and Qin, Hongchao and Qin, Lu and Wang, Guoren},
        journal = {PVLDB},
        series = {{VLDB} '24},
        volume = {17},
        number = {11},
        pages = {2722--2734},
        doi = {10.14778/3681954.3681958},
        url = {https://doi.org/10.14778/3681954.3681958},
        year = {2024}
}

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