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Consistency of spectral clustering in stochastic block models
7 December 2013
Jing Lei
Alessandro Rinaldo
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Papers citing
"Consistency of spectral clustering in stochastic block models"
50 / 313 papers shown
Title
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Consistent model selection for the Degree Corrected Stochastic Blockmodel
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Fundamental Limits of Spectral Clustering in Stochastic Block Models
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Scalable Spectral Clustering with Group Fairness Constraints
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274
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From Local to Global: Spectral-Inspired Graph Neural Networks
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Community Detection in the Hypergraph SBM: Exact Recovery Given the Similarity Matrix
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Concentration inequalities for correlated network-valued processes with applications to community estimation and changepoint analysis
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Signed Network Embedding with Application to Simultaneous Detection of Communities and Anomalies
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Ning Hao
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153
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Sparse Subspace Clustering in Diverse Multiplex Network Model
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Convergence and Recovery Guarantees of the K-Subspaces Method for Subspace Clustering
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Leave-one-out Singular Subspace Perturbation Analysis for Spectral Clustering
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Minimax Optimal Clustering of Bipartite Graphs with a Generalized Power Method
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Hemant Tyagi
183
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Perfect Spectral Clustering with Discrete Covariates
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Xiaoyue Niu
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122
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Mode Reduction for Markov Jump Systems
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Nonbacktracking spectral clustering of nonuniform hypergraphs
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175
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Optimal Network Membership Estimation Under Severe Degree Heterogeneity
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Jingming Wang
95
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Information-theoretic Limits for Testing Community Structures in Weighted Networks
Mingao Yuan
Zuofeng Shang
81
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Identifying Peer Influence in Therapeutic Communities Adjusting for Latent Homophily
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False membership rate control in mixture models
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Differentially Private Community Detection for Stochastic Block Models
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FedGCN: Convergence-Communication Tradeoffs in Federated Training of Graph Convolutional Networks
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202
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Matrix Completion with Hierarchical Graph Side Information
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Partial recovery and weak consistency in the non-uniform hypergraph Stochastic Block Model
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Mixed membership distribution-free model
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228
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Community detection in censored hypergraph
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Community detection using low-dimensional network embedding algorithms
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Hoi-To Wai
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A useful criterion on studying consistent estimation in community detection
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169
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220
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Community detection for weighted bipartite networks
Huan Qing
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287
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