PRSim: Sublinear Time SimRank Computation on Large Power-Law Graphs
Summary: PRSim delivers sublinear-time single-source SimRank queries on large power-law graphs with an index of size O(m). Query cost hinges on reverse PageRank; PRSim outperforms prior work in speed and accuracy with a compact index, and it scales to graphs. (summarized by gpt-5-nano on Feb 09 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Zhewei Wei (Renmin University of China)
- 2. Xiaodong He (4Paradigm Inc.)
- 3. Xiaokui Xiao (National University of Singapore)
- 4. Sibo Wang (Chinese University of Hong Kong)
- 5. Yu Liu (Peking University)
- 6. Xiaoyong Du (Renmin University of China)
- 7. Ji-Rong Wen (Renmin University of China)
BibTeX Citation
@inproceedings{wei_sigmod19,
title = {{PRSim: Sublinear Time SimRank Computation on Large Power-Law Graphs}},
author = {Wei, Zhewei and He, Xiaodong and Xiao, Xiaokui and Wang, Sibo and Liu, Yu and Du, Xiaoyong and Wen, Ji-Rong},
series = {{SIGMOD} '19},
booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
publisher = {Association for Computing Machinery},
doi = {10.1145/3299869.3319873},
url = {https://dl.acm.org/doi/10.1145/3299869.3319873},
year = {2019}
}
Incoming Citations (Sorted by Pagerank)
Showing 7 of 7 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 3,892 | Massively Parallel Algorithms for Personalized PageRank | 2021 | VLDB | 7.0430255e-05 |
| 5,826 | Realtime Index-Free Single Source SimRank Processing on Web-Scale Graphs | 2020 | VLDB | 6.074674e-05 |
| 6,446 | Exact Single-Source SimRank Computation on Large Graphs | 2020 | SIGMOD | 5.8763523e-05 |
| 8,063 | Estimating Single-Node PageRank in O~(min{d_t, sqrt(m)}) Time | 2023 | VLDB | 5.4949527e-05 |
| 9,314 | DISK: A Distributed Framework for Single-Source SimRank with Accuracy Guarantee | 2021 | VLDB | 5.289545e-05 |
| 11,383 | ClipSim: A GPU-friendly Parallel Framework for Single-Source SimRank with Accuracy Guarantee | 2023 | SIGMOD | 5.093636e-05 |
| 11,796 | SimTab: Accuracy-Guaranteed SimRank Queries through Tighter Confidence Bounds and Multi-Armed Bandits | 2020 | VLDB | 5.093636e-05 |
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Outgoing Citations (Sorted by Pagerank)
Showing 15 of 15 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
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