Block Models and Personalized PageRank
Proceedings of the National Academy of Sciences of the United States of America, Volume abs/1607.03483, Issue 1, 2017.
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Abstract:
Methods for ranking the importance of nodes in a network have a rich history in machine learning and across domains that analyze structured data. Recent work has evaluated these methods through the “seed set expansion problem”: given a subset <mml:math><mml:mi>S</mml:mi></mml:math>S of nodes from a community of interest in an underlying g...More
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