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We study community detection in the contextual stochastic block model arXiv:1807.09596 [cs.SI], arXiv:1607.02675 [stat.ME].
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Almost all regular graphs are hamiltonian
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Phase transition of the largest eigenvalue for nonnull complex sample covariance matrices
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Greg W Anderson and Ofer Zeitouni · 2006
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The phase transition in inhomogeneous random graphs
Béla Bollobás, Svante Janson, and Oliver Riordan · 2007
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Block-lda: Jointly modeling entity-annotated text and entity-entity links
Ramnath Balasubramanyan and William W Cohen · 2011
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Clustering large attributed graphs: A balance between structural and attribute similarities
Hong Cheng, Yang Zhou, and Jeffrey Xu Yu · 2011
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Varun Kanade, Elchanan Mossel, and Tselil Schramm · 2016
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Elchanan Mossel and Jiaming Xu · 2016
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Structure and inference in annotated networks
Mark EJ Newman and Aaron Clauset · 2016
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Partitioning networks with node attributes by compressing information flow
Laura M Smith, Linhong Zhu, Kristina Lerman, and Allon G Percus · 2016
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A proof of the block model threshold conjecture
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Asymptotic power of sphericity tests for high-dimensional data
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Community detection in networks with node attributes
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Learning latent block structure in weighted networks
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Detection limits in the high-dimensional spiked rectangular model
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Contiguity and non-reconstruction results for planted partition models: the dense case
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Optimality and sub-optimality of pca i: Spiked random matrix models
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Fundamental limits of detection in the spiked wigner model
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Testing in high-dimensional spiked models
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