On Triangulation-based Dense Neighborhood Graph Discovery
Summary: Introduces DN-graphs, dense subgraphs defined jointly by size and minimum pairwise interaction. Iterative, triangle-scanning triangulation algorithms approximate their discovery without materializing triangles, enabling pay-as-you-go mining with small memory—even in semi-streaming settings. (summarized by gpt-5.6-luna on Jul 24 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Nan Wang (National University of Singapore)
- 2. Jingbo Zhang (National University of Singapore)
- 3. Kian-Lee Tan (National University of Singapore)
- 4. Anthony K. H. Tung (National University of Singapore)
BibTeX Citation
@article{wang_vldb11,
title = {{On Triangulation-based Dense Neighborhood Graph Discovery}},
author = {Wang, Nan and Zhang, Jingbo and Tan, Kian-Lee and Tung, Anthony K. H.},
journal = {PVLDB},
series = {{VLDB} '11},
volume = {4},
number = {2},
pages = {58--69},
doi = {10.14778/1921071.1921073},
url = {https://doi.org/10.14778/1921071.1921073},
year = {2011}
}
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 |
|---|---|---|---|---|
| 138 | Discovering Large Dense Subgraphs in Massive Graphs | 2005 | VLDB | 0.00029823423 |
| 3,862 | CSV: Visualizing and Mining Cohesive Subgraphs | 2008 | SIGMOD | 7.0665158e-05 |
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