DBScholar

Back to papers

The Complexity of Counting Cycles in the Adjacency List Streaming Model

Summary: Characterizes sublinear-space complexity of cycle counting in the adjacency-list streaming model: provides a two-pass triangle estimator using Õ(m / T^{2/3}) space. Proves no sublinear multipass algorithms for l-cycles (l≥5); 4-cycles are intermediate—sublinear in multipass but impossible in single-pass. (summarized by gpt-5-mini on Feb 09 2026)

Paper ID
1800
Venue
PODS
Year
2019
Pagerank
5.9000002e-05
Overall Rank
6,363 | 56.35%
DOI
10.1145/3294052.3319706

Incoming Non-self Citations Over Time

Authors

BibTeX Citation

@inproceedings{kallaugher_pods19,
        address = {New York, NY, USA},
        series = {{PODS} '19},
        title = {{The Complexity of Counting Cycles in the Adjacency List Streaming Model}},
        url = {https://dl.acm.org/doi/10.1145/3294052.3319706},
        doi = {10.1145/3294052.3319706},
        booktitle = {Proceedings of the {ACM} {SIGMOD} Symposium on {Principles} of {Database} {Systems}},
        publisher = {Association for Computing Machinery},
        author = {Kallaugher, John and McGregor, Andrew and Price, Eric and Vorotnikova, Sofya},
        year = {2019}
}

Incoming Citations (Sorted by Pagerank)

Showing 4 of 4 citing papers.

Previous Page 1 / 1 Next

Outgoing Citations (Sorted by Pagerank)

Showing 3 of 3 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
1,103 Counting and Sampling Triangles from a Graph Stream 2013 VLDB 0.000121583
5,110 Better Algorithms for Counting Triangles in Data Streams 2016 PODS 6.3609746e-05
Previous Page 1 / 1 Next

Semantically Similar Papers