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Efficient Top-K SimRank-based Similarity Join

Summary: First attempt at top-k SimRank-based similarity join. Random-walk-based method to efficiently identify top-k pairs, with strong experimental gains over baselines on real graphs. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
4981
Venue
SIGMOD
Year
2014
Pagerank
5.457277e-05
Overall Rank
8,303 | 43.04%
DOI
10.1145/2588555.2612662

Incoming Non-self Citations Over Time

Authors

BibTeX Citation

@inproceedings{tao_sigmod14,
        title = {{Efficient Top-K SimRank-based Similarity Join}},
        author = {Tao, Wenbo},
        series = {{SIGMOD} '14},
        booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
        publisher = {Association for Computing Machinery},
        doi = {10.1145/2588555.2612662},
        url = {https://dl.acm.org/doi/10.1145/2588555.2612662},
        year = {2014}
}

Incoming Citations (Sorted by Pagerank)

Showing 1 of 1 citing papers.

Rank Citing Paper Year Venue Pagerank
6,634 An Experimental Evaluation of SimRank-based Similarity Search Algorithms 2017 VLDB 5.8182573e-05
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Outgoing Citations (Sorted by Pagerank)

Showing 2 of 2 cited papers.

Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.

Rank Cited Paper Year Venue Pagerank
653 Accuracy Estimate and Optimization Techniques for SimRank Computation 2008 VLDB 0.00015302705
1,812 Efficient SimRank-based Similarity Join Over Large Graphs 2013 VLDB 9.6948178e-05
Previous Page 1 / 1 Next

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