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conftrace_

community detection

298 papers

Papers

Modelling sparsity, heterogeneity, reciprocity and community structure in temporal interaction data NeurIPS 2018 Network Global Testing by Counting Graphlets ICML 2018 Provable Estimation of the Number of Blocks in Block Models AISTATS 2018 Significance-based community detection in weighted networks JMLR 2018 Statistical Inference on Random Dot Product Graphs: a Survey JMLR 2018 Submatrix localization via message passing JMLR 2018 Achieving Optimal Misclassification Proportion in Stochastic Block Models JMLR 2017 A Factored Neural Network Model for Characterizing Online Discussions in Vector Space EMNLP 2017 Community Extraction in Multilayer Networks with Heterogeneous Community Structure JMLR 2017 Confusion Graph: Detecting Confusion Communities in Large Scale Image Classification IJCAI 2017 From which world is your graph NeurIPS 2017 Improving Stochastic Block Models by Incorporating Power-Law Degree Characteristic IJCAI 2017 Leveraging Node Attributes for Incomplete Relational Data ICML 2017 On clustering network-valued data NeurIPS 2017 On Mixed Memberships and Symmetric Nonnegative Matrix Factorizations ICML 2017 PRUNE: Preserving Proximity and Global Ranking for Network Embedding NeurIPS 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 Bayesian Poisson Tucker Decomposition for Learning the Structure of International Relations ICML 2016 Clustering Signed Networks with the Geometric Mean of Laplacians NeurIPS 2016 Community Detection on Evolving Graphs NeurIPS 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