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» Evaluating Link Prediction on Large Graphs
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SAC
2009
ACM
14 years 2 months ago
Applying latent dirichlet allocation to group discovery in large graphs
This paper introduces LDA-G, a scalable Bayesian approach to finding latent group structures in large real-world graph data. Existing Bayesian approaches for group discovery (suc...
Keith Henderson, Tina Eliassi-Rad
WWW
2009
ACM
14 years 8 months ago
Fast dynamic reranking in large graphs
In this paper we consider the problem of re-ranking search results by incorporating user feedback. We present a graph theoretic measure for discriminating irrelevant results from ...
Purnamrita Sarkar, Andrew W. Moore
AAAI
2010
13 years 9 months ago
Utilizing Context in Generative Bayesian Models for Linked Corpus
In an interlinked corpus of documents, the context in which a citation appears provides extra information about the cited document. However, associating terms in the context to th...
Saurabh Kataria, Prasenjit Mitra, Sumit Bhatia
ISCIS
2003
Springer
14 years 24 days ago
Comparison of Feature Sets Using Multimedia Translation
Feature selection is very important for many computer vision applications. However, it is hard to find a good measure for the comparison. In this study, feature sets are compared ...
Pinar Duygulu, Özge Can Özcanli, Norman ...
WAW
2010
Springer
270views Algorithms» more  WAW 2010»
13 years 5 months ago
Fast Katz and Commuters: Efficient Estimation of Social Relatedness in Large Networks
Abstract. Motivated by social network data mining problems such as link prediction and collaborative filtering, significant research effort has been devoted to computing topologica...
Pooya Esfandiar, Francesco Bonchi, David F. Gleich...