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SimTab: Accuracy-Guaranteed SimRank Queries through Tighter Confidence Bounds and Multi-Armed Bandits

Summary: SimTab provides accuracy-guaranteed top-k and thresholding SimRank queries via tighter confidence bounds from random-walk sampling. Framing as Multi-Armed Bandits with a novel node-sim sampling strategy, it is index-free, scalable to dynamic graphs, and empirically superior. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
12109
Venue
VLDB
Year
2020
Pagerank
4.1945683e-05
Overall Rank
11,601 | 19.30%
DOI
10.14778/3407790.3407819

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Rank Citing Paper Year Venue Pagerank
9,321 Efficient and Accurate SimRank-based Similarity Joins: Experiments, Analysis, and Improvement 2024 VLDB 4.3556432e-05
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