Synergetic Community Search over Large Multilayer Graphs
Summary: Introduce the synergetic core, a multilayer cohesive-subgraph model enforcing both per-layer density and increased cohesiveness on the all-layer projection to capture communities missed by layer-only or projection-only models. Present a progressive enumerator and a dominant-layers trie (DLT) index to compactly store and traverse synergetic cores, enabling up to 10^5× speedups and superior community quality on real multilayer graphs. (summarized by gpt-5-mini on Feb 09 2026)
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Authors
- 1. Chengyang Luo (Zhejiang University)
- 2. Qing Liu (Zhejiang University)
- 3. Yunjun Gao (Zhejiang University)
- 4. Jianliang Xu (Hong Kong Baptist University)
BibTeX Citation
@article{luo_vldb25,
title = {{Synergetic Community Search over Large Multilayer Graphs}},
author = {Luo, Chengyang and Liu, Qing and Gao, Yunjun and Xu, Jianliang},
journal = {PVLDB},
series = {{VLDB} '25},
volume = {18},
number = {5},
pages = {1412--1424},
doi = {10.14778/3718057.3718069},
url = {https://doi.org/10.14778/3718057.3718069},
year = {2025}
}Incoming Citations (Sorted by Pagerank)
Showing 2 of 2 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 10,413 | To Learn or Not to Learn? An In-depth Empirical Analysis of Community Search Approaches | 2027 | SIGMOD | 4.9605343e-05 |
| 10,569 | Periodic Community Search in Temporal Graphs: Time Series-based Methods | 2026 | SIGMOD | 4.9605343e-05 |
Outgoing Citations (Sorted by Pagerank)
Showing 17 of 17 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
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