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Approximately Counting Triangles in Large Graph Streams Including Edge Duplicates with a Fixed Memory Usage

Summary: One-pass streaming algorithm uniformly samples distinct edges from large graph streams with duplicates, achieving O(1) per-edge sampling and no extra memory. It infers triangle counts from samples, outperforming prior methods in accuracy and speed within the same memory footprint. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
11647
Venue
VLDB
Year
2018
Pagerank
5.8575676e-05
Overall Rank
4,879 | 66.06%
DOI
-

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