Maximum k-Plex Search: An Alternated Reduction-and-Bound Method
Summary: Introduces AltRB, an alternating reduction/bounding strategy for branch-and-bound maximum k-plex search, replacing sequential RB with partitioned iterative pruning. Combined with new rules and preprocessing, kPEX scales up to 100× faster across 664 graphs. (summarized by gpt-5.6-luna on Jul 24 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Shuohao Gao (Harbin Engineering University)
- 2. Kaiqiang Yu (Nanyang Technological University)
- 3. Shengxin Liu (Harbin Engineering University)
- 4. Cheng Long (Nanyang Technological University)
BibTeX Citation
@article{gao_vldb25,
title = {{Maximum k-Plex Search: An Alternated Reduction-and-Bound Method}},
author = {Gao, Shuohao and Yu, Kaiqiang and Liu, Shengxin and Long, Cheng},
journal = {PVLDB},
series = {{VLDB} '25},
volume = {18},
number = {2},
pages = {363--376},
doi = {10.14778/3705829.3705851},
url = {https://doi.org/10.14778/3705829.3705851},
year = {2025}
}
Incoming Citations (Sorted by Pagerank)
Showing 1 of 1 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 10,365 | Efficient Defective Clique Enumeration and Search with Worst-Case Optimal Search Space | 2026 | SIGMOD | 5.093636e-05 |
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Outgoing Citations (Sorted by Pagerank)
Showing 15 of 15 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
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