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Efficient Progressive Minimum k-Core Search

Summary: Progressive PSA algorithm for minimum k-core search, finding the smallest k-core containing all query vertices. Novel lower/upper bound techniques prune the search space and balance solution quality with runtime; extensive experiments on 12 real graphs demonstrate efficiency. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
12429
Venue
VLDB
Year
2020
Pagerank
5.9068493e-05
Overall Rank
6,342 | 56.49%
DOI
10.14778/3368289.3368300

Incoming Non-self Citations Over Time

Authors

BibTeX Citation

@article{li_vldb20,
        title = {{Efficient Progressive Minimum k-Core Search}},
        author = {Li, Conggai and Zhang, Fan and Zhang, Ying and Qin, Lu and Zhang, Wenjie and Lin, Xuemin},
        journal = {PVLDB},
        series = {{VLDB} '20},
        volume = {13},
        number = {3},
        pages = {361--374},
        doi = {10.14778/3368289.3368300},
        url = {https://doi.org/10.14778/3368289.3368300},
        year = {2020}
}

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