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Efficient Top-K SimRank-based Similarity Join

Summary: Top-k SimRank-based similarity join for large graphs; nodes encoded as neighbor-summarizing vectors, turning SimRank into dot products. Two-step framework provides exact and approximate algorithms (user-specified accuracy), delivering scalable, high-performance top-k results. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
11333
Venue
VLDB
Year
2015
Pagerank
6.9319591e-05
Overall Rank
4,061 | 72.14%
DOI
10.14778/2735508.2735520

Incoming Non-self Citations Over Time

Authors

BibTeX Citation

@article{tao_vldb15,
        title = {{Efficient Top-K SimRank-based Similarity Join}},
        author = {Tao, Wenbo and Yu, Minghe and Li, Guoliang},
        journal = {PVLDB},
        series = {{VLDB} '15},
        volume = {8},
        number = {3},
        pages = {317--328},
        doi = {10.14778/2735508.2735520},
        url = {https://doi.org/10.14778/2735508.2735520},
        year = {2015}
}

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