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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
4.9605343e-05
Overall Rank
10,879 | 27.08%
DOI
10.14778/3828612.3828616
PDF
Download (CC BY-NC-ND 4.0)

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Authors

BibTeX Citation

@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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Outgoing Citations (Sorted by Pagerank)

Showing 28 of 28 cited papers.

Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.

Rank Cited Paper Year Venue Pagerank
130 Discovering Large Dense Subgraphs in Massive Graphs 2005 VLDB 0.0003029792
269 3-HOP: A High-Compression Indexing Scheme for Reachability Query 2009 SIGMOD 0.00022625826
560 Densest Subgraph in Streaming and MapReduce 2012 VLDB 0.00016408664
580 Large Scale Cohesive Subgraphs Discovery for Social Network Visual Analysis 2013 VLDB 0.00016057466
978 Dense Subgraph Maintenance under Streaming Edge Weight Updates for Real-time Story Identification 2012 VLDB 0.00012699423
1,198 KClist++: A Simple Algorithm for Finding k-Clique Densest Subgraphs in Large Graphs 2020 VLDB 0.00011541919
1,995 Efficient Algorithms for Densest Subgraph Discovery 2019 VLDB 9.2189157e-05
2,072 Truss Decomposition of Probabilistic Graphs: Semantics and Algorithms 2016 SIGMOD 9.0668141e-05
2,900 Piggybacking on Social Networks 2013 VLDB 7.8819591e-05
2,926 Finding Locally Densest Subgraphs: A Convex Programming Approach 2022 VLDB 7.837861e-05
3,170 On Querying Historical K-Cores 2021 VLDB 7.5572564e-05
3,396 Scaling Up k-Clique Densest Subgraph Detection 2023 SIGMOD 7.3277458e-05
3,778 Efficient Algorithms for Densest Subgraph Discovery on Large Directed Graphs 2020 SIGMOD 7.0037629e-05
4,377 Anchored Densest Subgraph 2022 SIGMOD 6.6166943e-05
4,944 A Convex-Programming Approach for Efficient Directed Densest Subgraph Discovery 2022 SIGMOD 6.3297928e-05
5,575 Theoretically and Practically Efficient Parallel Nucleus Decomposition 2022 VLDB 6.0626208e-05
6,226 I/O Efficient ECC Graph Decomposition via Graph Reduction 2016 VLDB 5.8266364e-05
6,666 Efficient Parallel D-core Decomposition at Scale 2024 VLDB 5.698709e-05
7,832 A Counting-based Approach for Efficient k-Clique Densest Subgraph Discovery 2024 SIGMOD 5.4289543e-05
7,851 Densest Multipartite Subgraph Search in Heterogeneous Information Networks 2024 VLDB 5.4232533e-05
8,993 An Efficient and Exact Algorithm for Locally h-Clique Densest Subgraph Discovery 2024 SIGMOD 5.2288673e-05
9,004 Efficient and Effective Algorithms for Generalized Densest Subgraph Discovery 2023 SIGMOD 5.2256037e-05
9,957 Efficient Algorithms for Density Decomposition on Large Static and Dynamic Graphs 2024 VLDB 5.0910746e-05
10,520 Efficient Anchored Densest Subgraph Discovery: Improved Time Complexity and Practical Performance 2026 SIGMOD 4.9605343e-05
10,636 Efficient and Scalable Directed Densest Subgraph Discovery 2026 SIGMOD 4.9605343e-05
11,284 In-depth Analysis of Densest Subgraph Discovery in a Unified Framework 2025 VLDB 4.9605343e-05
11,383 Efficient k-Clique Densest Subgraph Discovery: Towards Bridging Practice and Theory 2025 VLDB 4.9605343e-05
11,966 Densest Subgraph Discovery on Large Graphs: Applications, Challenges, and Techniques 2022 VLDB 4.9605343e-05
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