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An Experimental Evaluation of SimRank-based Similarity Search Algorithms

Summary: Empirical comparison of SimRank-based similarity search. Ten unified implementations (2002–2015) on graphs reveal no dominant method; iterative methods more accurate, random-walk more scalable; non-iterative variant excels on medium graphs - guidelines. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
11555
Venue
VLDB
Year
2017
Pagerank
4.9251746e-05
Overall Rank
6,789 | 52.78%
DOI
-

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