On Triangulation-based Dense Neighborhood Graph Discovery
Summary: Introduces DN-graph, a dense-subgraph pattern that jointly optimizes subgraph size and a minimum pairwise interaction. Offers iterative triangle-based triangulation to approximate DN-graphs without materializing triangles, enabling memory-light semi-streaming mining with pay-as-you-go termination. (summarized by gpt-5-nano on Feb 09 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Nan Wang
- 2. Jingbo Zhang
- 3. Kian-Lee Tan
- 4. Anthony K. H. Tung
Incoming Citations (Sorted by Pagerank)
Showing 19 of 19 citing papers.
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Outgoing Citations (Sorted by Pagerank)
Showing 2 of 2 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 57 | Discovering Large Dense Subgraphs in Massive Graphs | 2005 | VLDB | 0.00065421423 |
| 3,485 | CSV: Visualizing and Mining Cohesive Subgraphs | 2008 | SIGMOD | 7.0470365e-05 |
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