stochastic block model

Robustness of Community Detection to Random Geometric Perturbations NeurIPS 2020 Understanding the Success of Graph-based Semi-Supervised Learning using Partially Labelled Stochastic Block Model IJCAI 2020 Weighted Message Passing and Minimum Energy Flow for Heterogeneous Stochastic Block Models with Side Information JMLR 2020 Achieving the Bayes Error Rate in Stochastic Block Model by SDP, Robustly COLT 2019 Analysis of spectral clustering algorithms for community detection: the general bipartite setting JMLR 2019 Bayesian Graph Convolutional Neural Networks for Semi-Supervised Classification AAAI 2019 Efficient Near-Optimal Testing of Community Changes in Balanced Stochastic Block Models NeurIPS 2019 Generalized Matrix Means for Semi-Supervised Learning with Multilayer Graphs NeurIPS 2019 Guarantees for Spectral Clustering with Fairness Constraints ICML 2019 Online Influence Maximization with Local Observations ALT 2019 Optimal Sampling and Clustering in the Stochastic Block Model NeurIPS 2019 Optimizing Generalized PageRank Methods for Seed-Expansion Community Detection NeurIPS 2019 Revisiting the Bethe-Hessian: Improved Community Detection in Sparse Heterogeneous Graphs NeurIPS 2019 Robustness of Spectral Methods for Community Detection COLT 2019 Spectral Clustering of Signed Graphs via Matrix Power Means ICML 2019 SPONGE: A generalized eigenproblem for clustering signed networks AISTATS 2019 Stochastic Blockmodels meet Graph Neural Networks ICML 2019 Supervised Community Detection with Line Graph Neural Networks ICLR 2019 A Note on Quickly Sampling a Sparse Matrix with Low Rank Expectation JMLR 2018 Bipartite Stochastic Block Models with Tiny Clusters NeurIPS 2018 Community Detection and Stochastic Block Models: Recent Developments JMLR 2018 Community Detection in Hypergraphs: Optimal Statistical Limit and Efficient Algorithms AISTATS 2018 Contextual Stochastic Block Models NeurIPS 2018 Information-theoretic Limits for Community Detection in Network Models NeurIPS 2018 Labeled Graph Clustering via Projected Gradient Descent AISTATS 2018