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Parallel Personalized PageRank on Dynamic Graphs

Summary: Parallel dynamic PPR on graphs with batch updates to reduce synchronization and enable iterative parallelism. Same asymptotic cost as the sequential local-update scheme, with optimizations; GPU/CPU experiments yield orders-of-magnitude speedups. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
11795
Venue
VLDB
Year
2018
Pagerank
5.3734643e-05
Overall Rank
5,680 | 60.49%
DOI
10.14778/3136610.3136618

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Showing 14 of 14 citing papers.

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Outgoing Citations (Sorted by Pagerank)

Showing 10 of 10 cited papers.

Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.

Rank Cited Paper Year Venue Pagerank
486 Fast Incremental and Personalized PageRank 2011 VLDB 0.00022068545
886 Fast Personalized PageRank on MapReduce 2011 SIGMOD 0.00015597161
1,665 The More the Merrier: Efficient Multi-Source Graph Traversal 2015 VLDB 0.00010967716
1,821 Computing Personalized PageRank Quickly by Exploiting Graph Structures 2014 VLDB 0.00010423565
2,242 HubPPR: Effective Indexing for Approximate Personalized PageRank 2017 VLDB 9.218875e-05
3,233 iBFS: Concurrent Breadth-First Search on GPUs 2016 SIGMOD 7.3361904e-05
3,597 Parallel Local Graph Clustering 2016 VLDB 6.9345175e-05
3,872 Distributed Algorithms on Exact Personalized PageRank 2017 SIGMOD 6.6785582e-05
4,577 Accelerating Dynamic Graph Analytics on GPUs 2018 VLDB 6.0709631e-05
4,900 Graph Synopses, Sketches, and Streams: A Survey 2012 VLDB 5.8423536e-05
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