Counting and Sampling Triangles from a Graph Stream
Summary: Space-efficient streaming algorithm for counting and sampling triangles (and constant-sized cliques) in massive graphs, one-pass with low memory. Outperforms prior work in space and time, with a simple implementation and strong practical performance on large-scale data. (summarized by gpt-5-nano on Feb 09 2026)
Incoming Non-self Citations Over Time
Authors
- 1. A. Pavan (Iowa State University)
- 2. Kanat Tangwongsan (IBM)
- 3. Srikanta Tirthapura (Iowa State University)
- 4. Kun-Lung Wu (IBM)
BibTeX Citation
@article{pavan_vldb13,
title = {{Counting and Sampling Triangles from a Graph Stream}},
author = {Pavan, A. and Tangwongsan, Kanat and Tirthapura, Srikanta and Wu, Kun-Lung},
journal = {PVLDB},
series = {{VLDB} '13},
volume = {6},
number = {14},
pages = {1870--1881},
doi = {10.14778/2556549.2556571},
url = {https://doi.org/10.14778/2556549.2556571},
year = {2013}
}
Incoming Citations (Sorted by Pagerank)
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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 |
|---|---|---|---|---|
| 458 | Counting Triangles in Data Streams | 2006 | PODS | 0.0001810876 |
| 1,146 | Graph Sketches: Sparsification, Spanners, and Subgraphs | 2012 | PODS | 0.00011984702 |
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