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Efficient Locally h-Clique Densest Subgraph Discovery via Divide-and-Conquer
Summary: Introduces a divide-and-conquer algorithm for locally h-clique densest subgraph discovery, avoiding redundant computation while enumerating multiple locally optimal dense regions. Experiments on 15 large graphs show up to 100× speedups over the state of the art.
(summarized by gpt-5.6-luna on Aug 28 2026)
Paper ID
h97f4676ba3a17b32
Venue
VLDB
Year
2026
Pagerank
4.9769913e-05
Overall Rank
10,818 | 27.30%
DOI
10.14778/3828612.3828616
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(CC BY-NC-ND 4.0)
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@article{zhou_vldb26,
title = {{Efficient Locally h-Clique Densest Subgraph Discovery via Divide-and-Conquer}},
author = {Zhou, Yingli and Huang, Taohua and Fang, Yixiang},
journal = {PVLDB},
series = {{VLDB} '26},
volume = {19},
number = {10},
pages = {2577--2590},
doi = {10.14778/3828612.3828616},
url = {https://doi.org/10.14778/3828612.3828616},
year = {2026}
}
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Showing 28 of 28 cited papers.
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