Parallel Algorithms for Hierarchical Nucleus Decomposition
Summary: Scalable parallel algorithms for nucleus decomposition; produce a dense subgraph hierarchy with interleaved coreness and a concurrent union-find. Parallel approximation with low span, bounded work, and speedups to 60x, with 1.3x coreness error. (summarized by gpt-5-nano on Feb 09 2026)
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Authors
- 1. Jessica Shi
- 2. Laxman Dhulipala
- 3. Julian Shun
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