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DISK: A Distributed Framework for Single-Source SimRank with Accuracy Guarantee

Summary: DISK brings single-source SimRank to distributed shared-nothing systems via offline diagonal correction estimation and online iterative computation. Tree-based indexing and optimizations provide accuracy guarantees, parallel scalability, and billion-edge support with second-level queries. (summarized by gpt-5.6-luna on Jul 24 2026)

Paper ID
12745
Venue
VLDB
Year
2021
Pagerank
5.289545e-05
Overall Rank
9,314 | 36.10%
DOI
10.14778/3430915.3430925

Incoming Non-self Citations Over Time

Authors

BibTeX Citation

@article{wang_vldb21,
        title = {{DISK: A Distributed Framework for Single-Source SimRank with Accuracy Guarantee}},
        author = {Wang, Yue and Xu, Ruiqi and Feng, Zonghao and Che, Yulin and Chen, Lei and Luo, Qiong and Mao, Rui},
        journal = {PVLDB},
        series = {{VLDB} '21},
        volume = {14},
        number = {3},
        pages = {351--363},
        doi = {10.14778/3430915.3430925},
        url = {https://doi.org/10.14778/3430915.3430925},
        year = {2021}
}

Incoming Citations (Sorted by Pagerank)

Showing 1 of 1 citing papers.

Rank Citing Paper Year Venue Pagerank
11,383 ClipSim: A GPU-friendly Parallel Framework for Single-Source SimRank with Accuracy Guarantee 2023 SIGMOD 5.093636e-05
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Outgoing Citations (Sorted by Pagerank)

Showing 14 of 14 cited papers.

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

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