Recovering Unbalanced Communities in the Stochastic Block Model with Application to Clustering with a Faulty Oracle

Neural Information Processing Systems 

The stochastic block model (SBM) is a fundamental model for studying graph clustering or community detection in networks. It has received great attention in the last decade and the balanced case, i.e., assuming all clusters have large

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