Efficient and Accurate SimRank-based Similarity Joins: Experiments, Analysis, and Improvement
Summary: Analyzes SimRank similarity-join methods and gives new theoretical results exposing scalability/accuracy gaps. Proposes approximation‑guaranteed threshold/top‑k frameworks and an efficient randomized local‑push all‑pairs algorithm with complexity bounds and strong empirical gains. (summarized by gpt-5-mini on Feb 09 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Qian Ge (Peking University)
- 2. Yu Liu (Beijing Jiaotong University)
- 3. Yinghao Zhao (Beijing Jiaotong University)
- 4. Yuetian Sun (Beijing Jiaotong University)
- 5. Lei Zou (Peking University)
- 6. Yuxing Chen (Tencent)
- 7. Anqun Pan (Tencent)
BibTeX Citation
@article{ge_vldb24,
title = {{Efficient and Accurate SimRank-based Similarity Joins: Experiments, Analysis, and Improvement}},
author = {Ge, Qian and Liu, Yu and Zhao, Yinghao and Sun, Yuetian and Zou, Lei and Chen, Yuxing and Pan, Anqun},
journal = {PVLDB},
series = {{VLDB} '24},
volume = {17},
number = {4},
pages = {617--629},
doi = {10.14778/3636218.3636219},
url = {https://doi.org/10.14778/3636218.3636219},
year = {2024}
}
Incoming Citations (Sorted by Pagerank)
Showing 1 of 1 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 11,237 | BIRD: Efficient Approximation of Bidirectional Hidden Personalized PageRank | 2024 | VLDB | 5.093636e-05 |
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Outgoing Citations (Sorted by Pagerank)
Showing 11 of 11 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
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