stochastic block model

Mean Field for the Stochastic Blockmodel: Optimization Landscape and Convergence Issues NeurIPS 2018 Overlapping Clustering Models, and One (class) SVM to Bind Them All NeurIPS 2018 Rates of Convergence of Spectral Methods for Graphon Estimation ICML 2018 Significance-based community detection in weighted networks JMLR 2018 Small-Variance Asymptotics for Nonparametric Bayesian Overlapping Stochastic Blockmodels IJCAI 2018 Statistical Inference on Random Dot Product Graphs: a Survey JMLR 2018 The Power Mean Laplacian for Multilayer Graph Clustering AISTATS 2018 Unperturbed: spectral analysis beyond Davis-Kahan ALT 2018 Achieving Optimal Misclassification Proportion in Stochastic Block Models JMLR 2017 Bayesian inference on random simple graphs with power law degree distributions ICML 2017 Clustering from General Pairwise Observations with Applications to Time-varying Graphs JMLR 2017 Community Extraction in Multilayer Networks with Heterogeneous Community Structure JMLR 2017 From which world is your graph NeurIPS 2017 Hierarchical Clustering Beyond the Worst-Case NeurIPS 2017 Improving Stochastic Block Models by Incorporating Power-Law Degree Characteristic IJCAI 2017 The Importance of Communities for Learning to Influence NeurIPS 2017 Thy Friend is My Friend: Iterative Collaborative Filtering for Sparse Matrix Estimation NeurIPS 2017 Achieving the KS threshold in the general stochastic block model with linearized acyclic belief propagation NeurIPS 2016 Community Detection on Evolving Graphs NeurIPS 2016 Density Evolution in the Degree-correlated Stochastic Block Model COLT 2016 Estimating the Size of a Large Network and its Communities from a Random Sample NeurIPS 2016 Exploiting Tradeoffs for Exact Recovery in Heterogeneous Stochastic Block Models NeurIPS 2016 Graph Clustering: Block-models and model free results NeurIPS 2016 Graphons, mergeons, and so on! NeurIPS 2016 Information-theoretic thresholds for community detection in sparse networks COLT 2016