Efficient Personalized PageRank Computation: The Power of Variance-Reduced Monte Carlo Approaches
Summary: Two variance-reduction techniques for Personalized PageRank: power-iteration variance reduction and progressive sampling. Integrates these with random-walk and spanning-forest Monte Carlo PPR to achieve higher accuracy at equal or lower runtime than state-of-the-art bidirectional algorithms, leveraging historical sampling. (summarized by gpt-5-nano on Feb 09 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Meihao Liao (Beijing Institute of Technology)
- 2. Rong-Hua Li (Beijing Institute of Technology)
- 3. Qiangqiang Dai (Beijing Institute of Technology)
- 4. Hongyang Chen (Zhejiang Lab)
- 5. Hongchao Qin (Beijing Institute of Technology)
- 6. Guoren Wang (Beijing Institute of Technology)
BibTeX Citation
@inproceedings{liao_sigmod23,
title = {{Efficient Personalized PageRank Computation: The Power of Variance-Reduced Monte Carlo Approaches}},
author = {Liao, Meihao and Li, Rong-Hua and Dai, Qiangqiang and Chen, Hongyang and Qin, Hongchao and Wang, Guoren},
series = {{SIGMOD} '23},
booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
publisher = {Association for Computing Machinery},
doi = {10.1145/3589305},
url = {https://dl.acm.org/doi/10.1145/3589305},
year = {2023}
}
Incoming Citations (Sorted by Pagerank)
Showing 4 of 4 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 8,911 | Efficient and Provable Effective Resistance Computation on Large Graphs: an Index-based Approach | 2024 | SIGMOD | 5.3483178e-05 |
| 9,046 | One Index for All: Towards Efficient Personalized PageRank Computation for Every Damping Factor | 2026 | SIGMOD | 5.3251649e-05 |
| 10,161 | Near-Optimality for Single-Source Personalized PageRank | 2026 | PODS | 5.093636e-05 |
| 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 16 of 16 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
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