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)
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Authors
- 1. Ruchi Bhoot
- 2. Tuhin Khare
- 3. Manoj Agarwal
- 4. Siddharth Jaiswal
- 5. Yogesh Simmhan
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