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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
6081
Venue
SIGMOD
Year
2021
Pagerank
7.6321424e-05
Overall Rank
3,063 | 78.70%
DOI
10.1145/3448016.3452800

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