Massive Graph Triangulation
Summary: Massive Graph Triangulation: I/O-efficient triangle listing for graphs that don't fit memory; finds all 3-vertex cliques. New algorithm provably I/O- and CPU-efficient, input-assumption-free, with a radically different approach, achieving ~10x speedups over prior work. (summarized by gpt-5-nano on Feb 09 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Xiaocheng Hu (Chinese University of Hong Kong)
- 2. Yufei Tao (Chinese University of Hong Kong; Korea Advanced Institute of Science and Technology)
- 3. Chin-Wan Chung (Korea Advanced Institute of Science and Technology)
BibTeX Citation
@inproceedings{hu_sigmod13,
title = {{Massive Graph Triangulation}},
author = {Hu, Xiaocheng and Tao, Yufei and Chung, Chin-Wan},
series = {{SIGMOD} '13},
booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
publisher = {Association for Computing Machinery},
doi = {10.1145/2463676.2463704},
url = {https://dl.acm.org/doi/10.1145/2463676.2463704},
year = {2013}
}
Incoming Citations (Sorted by Pagerank)
Showing 21 of 21 citing papers.
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Outgoing Citations (Sorted by Pagerank)
Showing 5 of 5 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 100 | Truss Decomposition in Massive Networks | 2012 | VLDB | 0.00033977856 |
| 265 | On Triangulation-based Dense Neighborhood Graph Discovery | 2011 | VLDB | 0.00022748633 |
| 645 | Finding Maximal Cliques in Massive Networks by H*-graph | 2010 | SIGMOD | 0.00015213733 |
| 2,420 | gSketch: On Query Estimation in Graph Streams | 2012 | VLDB | 8.4898523e-05 |
| 4,433 | Efficient External-Memory Bisimulation on DAGs | 2012 | SIGMOD | 6.6015942e-05 |
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