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• W1519192496 abstract "Exchangeable graph models (ExGM) subsume a number of popular network models. The mathematical object that characterizes an ExGM is termed a graphon. Finding scalable estimators of graphons, provably consistent, remains an open issue. In this paper, we propose a histogram estimator of a graphon that is provably consistent and numerically efficient. The proposed estimator is based on a sorting-and-smoothing (SAS) algorithm, which first sorts the empirical degree of a graph, then smooths the sorted graph using total variation minimization. The consistency of the SAS algorithm is proved by leveraging sparsity concepts from compressed sensing." @default.
• W1519192496 created "2016-06-24" @default.
• W1519192496 creator A5007938446 @default.
• W1519192496 creator A5035398709 @default.
• W1519192496 date "2014-06-21" @default.
• W1519192496 modified "2023-10-18" @default.
• W1519192496 title "A Consistent Histogram Estimator for Exchangeable Graph Models" @default.
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• W1519192496 hasPublicationYear "2014" @default.
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