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)
Incoming Non-self Citations Over Time
Authors
- 1. Jianwen Zhao (Chinese University of Hong Kong)
- 2. Yufei Tao (Chinese University of Hong Kong)
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.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 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)
Showing 11 of 11 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
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