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CORR
2012
Springer

Fast and Exact Top-k Search for Random Walk with Restart

8 years 5 months ago
Fast and Exact Top-k Search for Random Walk with Restart
Graphs are fundamental data structures and have been employed for centuries to model real-world systems and phenomena. Random walk with restart (RWR) provides a good proximity score between two nodes in a graph, and it has been successfully used in many applications such as automatic image captioning, recommender systems, and link prediction. The goal of this work is to find nodes that have topk highest proximities for a given node. Previous approaches to this problem find nodes efficiently at the expense of exactness. The main motivation of this paper is to answer, in the affirmative, the question, ‘Is it possible to improve the search time without sacrificing the exactness?’. Our solution, Kdash, is based on two ideas: (1) It computes the proximity of a selected node efficiently by sparse matrices, and (2) It skips unnecessary proximity computations when searching for the top-k nodes. Theoretical analyses show that K-dash guarantees result exactness. We perform comprehensive ...
Yasuhiro Fujiwara, Makoto Nakatsuji, Makoto Onizuk
Added 20 Apr 2012
Updated 20 Apr 2012
Type Journal
Year 2012
Where CORR
Authors Yasuhiro Fujiwara, Makoto Nakatsuji, Makoto Onizuka, Masaru Kitsuregawa
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