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)
Incoming Non-self Citations Over Time
Authors
- 1. Guanhao Hou (Chinese University of Hong Kong)
- 2. Xingguang Chen (Chinese University of Hong Kong)
- 3. Sibo Wang (Chinese University of Hong Kong)
- 4. Zhewei Wei (Renmin University of China)
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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