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Minimum Vertex Augmentation

Summary: Minimum Vertex Augmentation (MVA) flips a subset of 0-vertices so the 1-vertex induced subgraph satisfies a user-defined pi. A generic algorithmic paradigm with strong guarantees and scalable techniques, validated by extensive experiments on real graphs. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
12522
Venue
VLDB
Year
2021
Pagerank
5.2993405e-05
Overall Rank
9,244 | 36.58%
DOI
10.14778/3461535.3461536

Incoming Non-self Citations Over Time

Authors

BibTeX Citation

@article{zhao_vldb21,
        title = {{Minimum Vertex Augmentation}},
        author = {Zhao, Jianwen and Tao, Yufei},
        journal = {PVLDB},
        series = {{VLDB} '21},
        volume = {14},
        number = {9},
        pages = {1454--1466},
        doi = {10.14778/3461535.3461536},
        url = {https://doi.org/10.14778/3461535.3461536},
        year = {2021}
}

Incoming Citations (Sorted by Pagerank)

Showing 1 of 1 citing papers.

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8,913 Efficient Approximation Algorithms for Minimum Cost Seed Selection with Probabilistic Coverage Guarantee 2024 SIGMOD 5.3483178e-05
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Outgoing Citations (Sorted by Pagerank)

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