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Massively Parallel Algorithms for Personalized PageRank

Summary: Delta-Push is a distributed framework for single-source and top-k Personalized PageRank on massive graphs, merging a redesigned parallel push with pre-sampled random walks to reduce rounds. Using the MPC model, it bounds per-round load by m/p, scales with executors for batched queries, and introduces a friendly top-k algorithm; experiments show improved efficiency over baselines. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
12353
Venue
VLDB
Year
2021
Pagerank
6.0846728e-05
Overall Rank
4,562 | 68.27%
DOI
10.14778/3461535.3461554

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