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An Experimental Comparison of Partitioning Strategies in Distributed Graph Processing

Summary: Empirical comparison of partitioning strategies in distributed graph systems, evaluating performance and resources across workloads. No single strategy dominates; outcomes depend on degree distribution, duration, cluster size, and PowerLyra results. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
11546
Venue
VLDB
Year
2017
Pagerank
9.9071968e-05
Overall Rank
1,968 | 86.32%
DOI
-

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