DBScholar

Back to papers

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
h76fbf92044afcca9
Venue
VLDB
Year
2018
Pagerank
6.1896851e-05
Overall Rank
5,300 | 64.37%
DOI
10.14778/3136610.3136618

Incoming Non-self Citations Over Time

Authors

BibTeX Citation

@article{guo_vldb18,
        title = {{Parallel Personalized PageRank on Dynamic Graphs}},
        author = {Guo, Wentian and Li, Yuchen and Sha, Mo and Tan, Kian-Lee},
        journal = {PVLDB},
        series = {{VLDB} '18},
        volume = {11},
        number = {1},
        pages = {93--106},
        doi = {10.14778/3136610.3136618},
        url = {https://doi.org/10.14778/3136610.3136618},
        year = {2018}
}

Incoming Citations (Sorted by Pagerank)

Showing 14 of 14 citing papers.

Previous Page 1 / 1 Next

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.

Previous Page 1 / 1 Next

Semantically Similar Papers