DBScholar

Back to papers

Sliding Window-based Approximate Triangle Counting over Streaming Graphs with Duplicate Edges

Summary: SWTC introduces a sliding-window approach for approximate triangle counting in streaming graphs with duplicate edges. Fixed-length slicing delivers unbiased sampling and memory-bounded cardinality estimation, with theoretical guarantees and improved accuracy versus baselines under the same memory. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
6143
Venue
SIGMOD
Year
2021
Pagerank
8.3200595e-05
Overall Rank
2,635 | 81.93%
DOI
10.1145/3448016.3452800

Incoming Non-self Citations Over Time

Authors

BibTeX Citation

@inproceedings{gou_sigmod21,
        title = {{Sliding Window-based Approximate Triangle Counting over Streaming Graphs with Duplicate Edges}},
        author = {Gou, Xiangyang and Zou, Lei},
        series = {{SIGMOD} '21},
        booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
        publisher = {Association for Computing Machinery},
        doi = {10.1145/3448016.3452800},
        url = {https://dl.acm.org/doi/10.1145/3448016.3452800},
        year = {2021}
}

Incoming Citations (Sorted by Pagerank)

Showing 13 of 13 citing papers.

Previous Page 1 / 1 Next

Outgoing Citations (Sorted by Pagerank)

Showing 9 of 9 cited papers.

Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.

Previous Page 1 / 1 Next

Semantically Similar Papers