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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
13494
Venue
VLDB
Year
2024
Pagerank
4.3690661e-05
Overall Rank
9,239 | 35.73%
DOI
10.14778/3681954.3681958

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