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SimRank

SimRank is a general similarity measure, based on a simple and intuitive graph-theoretic model.SimRank is applicable in any domain with object-to… Expand
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Papers overview

Semantic Scholar uses AI to extract papers important to this topic.
2017
2017
Similarity among entities in graphs plays a key role in data analysis and mining. SimRank is a widely used and popular… Expand
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Highly Cited
2014
Highly Cited
2014
SimRank, proposed by Jeh and Widom, provides a good similarity score and has been successfully used in many of the above… Expand
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Highly Cited
2013
Highly Cited
2013
Graphs have been widely used to model complex data in many real-world applications. Answering vertex join queries over large… Expand
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Highly Cited
2010
Highly Cited
2010
Recently there has been a lot of interest in graph-based analysis. One of the most important aspects of graph-based analysis is… Expand
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Highly Cited
2010
Highly Cited
2010
Information networks are ubiquitous in many applications and analysis on such networks has attracted significant attention in the… Expand
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Highly Cited
2010
Highly Cited
2010
The problem of missing link prediction in complex networks has attracted much attention recently. Two difficulties in link… Expand
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Highly Cited
2009
Highly Cited
2009
The measure of similarity between objects is a very useful tool in many areas of computer science, including information… Expand
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Highly Cited
2008
Highly Cited
2008
We focus on the problem of query rewriting for sponsored search. We base rewrites on a historical click graph that records the… Expand
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Highly Cited
2006
Highly Cited
2006
Co-occurrence data is quite common in many real applications. Latent Semantic Analysis (LSA) has been successfully used to… Expand
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Highly Cited
2002
Highly Cited
2002
The problem of measuring "similarity" of objects arises in many applications, and many domain-specific measures have been… Expand
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