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Scalable Community Detection via Parallel Correlation Clustering

Summary: Scalable shared-memory framework for community detection via LambdaCC (modularity and correlation clustering) with generalized sequential and parallel implementations. Achieves high-quality clustering on unweighted/weighted graphs with billions of edges and yields large speedups (up to 28x vs sequential), improving speed–quality trade-offs. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
12408
Venue
VLDB
Year
2021
Pagerank
-
Overall Rank
13,251 | 7.82%
DOI
10.14778/3476249.3476282

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Rank Citing Paper Year Venue Pagerank
10,879 The ParClusterers Benchmark Suite (PCBS): A Fine-Grained Analysis of Scalable Graph Clustering 2025 VLDB 4.1945683e-05
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