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Incremental and Accuracy-Aware Personalized PageRank through Scheduled Approximation

Summary: FastPPV proposes scheduled, incremental, accuracy-aware PPV computation. Hub-length-based partitioning of random walks enables shared substructure reuse, exponential error decay, and near-constant online query time on large graphs. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
10713
Venue
VLDB
Year
2013
Pagerank
8.1831695e-05
Overall Rank
2,745 | 80.93%
DOI
-

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Showing 3 of 3 cited papers.

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

Rank Cited Paper Year Venue Pagerank
320 ObjectRank: Authority-Based Keyword Search in Databases 2004 VLDB 0.00027574254
478 Fast Incremental and Personalized PageRank 2011 VLDB 0.00022183187
875 Fast Personalized PageRank on MapReduce 2011 SIGMOD 0.00015679931
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