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Massively Parallel Algorithms for Personalized PageRank

Summary: Delta-Push computes single-source and top-k personalized PageRank under MPC with bounded per-round load and communication rounds. Pre-sampled walks accelerate parallel push, while elastic batching uses extra executors for multiple queries. (summarized by gpt-5.6-luna on Jul 24 2026)

Paper ID
12541
Venue
VLDB
Year
2021
Pagerank
7.0430255e-05
Overall Rank
3,892 | 73.30%
DOI
10.14778/3461535.3461554

Incoming Non-self Citations Over Time

Authors

BibTeX Citation

@article{hou_vldb21,
        title = {{Massively Parallel Algorithms for Personalized PageRank}},
        author = {Hou, Guanhao and Chen, Xingguang and Wang, Sibo and Wei, Zhewei},
        journal = {PVLDB},
        series = {{VLDB} '21},
        volume = {14},
        number = {9},
        pages = {1668--1680},
        doi = {10.14778/3461535.3461554},
        url = {https://doi.org/10.14778/3461535.3461554},
        year = {2021}
}

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