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Triparts: Scalable Streaming Graph Partitioning to Enhance Community Structure

Summary: TriParts: streaming k-way edge partitioner that maximizes local triangle counts to preserve community structure while maintaining balance and replication. Combines Bloom filters, triangle and high-degree maps; achieves 4–8× better triangle conservation vs DBH/HDRF on graphs up to 1.6B edges at 500k edges/s. (summarized by gpt-5-mini on Feb 09 2026)

Paper ID
13937
Venue
VLDB
Year
2025
Pagerank
4.1945683e-05
Overall Rank
10,651 | 25.91%
DOI
10.14778/3746405.3746423

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