DMCS : Density Modularity based Community Search
Summary: Introduces Density Modularity, a graph-modularity measure for query-containing community search, the first to leverage modularity in this task. Proposes log-linear algorithms, proves NP-hardness, and shows up to 8.5× NMI gains over baselines on real and synthetic networks. (summarized by gpt-5-nano on Feb 09 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Junghoon Kim
- 2. Siqiang Luo
- 3. Gao Cong
- 4. Wenyuan Yu
Incoming Citations (Sorted by Pagerank)
Showing 8 of 8 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 6,259 | Neural Attributed Community Search at Billion Scale | 2023 | SIGMOD | 5.1355079e-05 |
| 8,821 | Efficient Unsupervised Community Search with Pre-trained Graph Transformer | 2024 | VLDB | 4.4417735e-05 |
| 9,484 | Enabling Window-Based Monotonic Graph Analytics with Reusable Transitional Results for Pattern-Consistent Queries | 2024 | VLDB | 4.3341665e-05 |
| 9,553 | Deep Overlapping Community Search via Subspace Embedding | 2025 | SIGMOD | 4.3254416e-05 |
| 10,181 | LMSC: Local Sketch Modularity Optimisation for Size-Constrained Community Search in Networks | 2026 | SIGMOD | 4.1945683e-05 |
| 10,582 | A Flexible Framework for Query-oriented Interactive Community Search | 2025 | VLDB | 4.1945683e-05 |
| 10,648 | A Comprehensive Survey and Experimental Study of Learning-based Community Search | 2025 | VLDB | 4.1945683e-05 |
| 10,694 | Effective and Efficient Community Search for Complex Network Semantics Capture: From Coarse-Grain to Fine-Grain | 2025 | VLDB | 4.1945683e-05 |
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Outgoing Citations (Sorted by Pagerank)
Showing 11 of 11 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
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