graph clustering

Low-Rank Riemannian Optimization on Positive Semidefinite Stochastic Matrices with Applications to Graph Clustering ICML 2018 Provable Estimation of the Number of Blocks in Block Models AISTATS 2018 Small-Variance Asymptotics for Nonparametric Bayesian Overlapping Stochastic Blockmodels IJCAI 2018 Affinity Clustering: Hierarchical Clustering at Scale NeurIPS 2017 Analysis and Optimization of Graph Decompositions by Lifted Multicuts ICML 2017 Capacity Releasing Diffusion for Speed and Locality ICML 2017 Clustering from General Pairwise Observations with Applications to Time-varying Graphs JMLR 2017 Hierarchical Clustering Beyond the Worst-Case NeurIPS 2017 Learning A Structured Optimal Bipartite Graph for Co-Clustering NeurIPS 2017 On clustering network-valued data NeurIPS 2017 On Mixed Memberships and Symmetric Nonnegative Matrix Factorizations ICML 2017 Orthogonal and Nonnegative Graph Reconstruction for Large Scale Clustering IJCAI 2017 Subspace Clustering via Tangent Cones NeurIPS 2017 Watset: Automatic Induction of Synsets from a Graph of Synonyms ACL 2017 Clustering Signed Networks with the Geometric Mean of Laplacians NeurIPS 2016 Communication-Optimal Distributed Clustering NeurIPS 2016 Community Detection on Evolving Graphs NeurIPS 2016 Consistency of Cheeger and Ratio Graph Cuts JMLR 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 Learning Communities in the Presence of Errors COLT 2016 Local Network Community Detection with Continuous Optimization of Conductance and Weighted Kernel K-Means JMLR 2016 A class of network models recoverable by spectral clustering NeurIPS 2015 A Convex Optimization Framework for Bi-Clustering ICML 2015