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OPT: A New Framework for Overlapped and Parallel Triangulation in Large-scale Graphs

Summary: OPT is a disk-based, overlapped, parallel triangulation framework for billion-scale graphs, achieving near-ideal cost by CPU–I/O overlap. It uses internal/external triangles, macro/micro overlaps, and vertex- and edge-iterator models, with linear speedups. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
4830
Venue
SIGMOD
Year
2014
Pagerank
7.45141e-05
Overall Rank
3,393 | 76.73%
DOI
10.1145/2588555.2588563

Incoming Non-self Citations Over Time

Authors

BibTeX Citation

@inproceedings{kim_sigmod14,
        title = {{OPT: A New Framework for Overlapped and Parallel Triangulation in Large-scale Graphs}},
        author = {Kim, Jinha and Han, Wook-Shin and Lee, Sangyeon and Park, Kyungyeol and Yu, Hwanjo},
        series = {{SIGMOD} '14},
        booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
        publisher = {Association for Computing Machinery},
        doi = {10.1145/2588555.2588563},
        url = {https://dl.acm.org/doi/10.1145/2588555.2588563},
        year = {2014}
}

Incoming Citations (Sorted by Pagerank)

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Outgoing Citations (Sorted by Pagerank)

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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
594 Massive Graph Triangulation 2013 SIGMOD 0.00015979077
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