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Stochastic Block Model

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TitleStatusHype
A Dirichlet stochastic block model for composition-weighted networks—0
Gap-Free Clustering: Sensitivity and Robustness of SDP—0
Effects of Graph Convolutions in Multi-layer Networks—0
Clustering with Noisy Queries—0
Clustering Sparse Graphs—0
Dual regularized Laplacian spectral clustering methods on community detection—0
Clustering Partially Observed Graphs via Convex Optimization—0
Adapting the Stochastic Block Model to Edge-Weighted Networks—0
Achieving the KS threshold in the general stochastic block model with linearized acyclic belief propagation—0
Disentangling bipartite and core-periphery structure in financial networks—0
Discovery of Latent Factors in High-dimensional Data Using Tensor Methods—0
Clustering Network Layers With the Strata Multilayer Stochastic Block Model—0
Dynamic Mixed Membership Stochastic Block Model for Weighted Labeled Networks—0
Effective Stimulus Propagation in Neural Circuits: Driver Node Selection—0
Clustering multilayer graphs with missing nodes—0
Efficient inference in stochastic block models with vertex labels—0
An Ensemble Framework for Detecting Community Changes in Dynamic Networks—0
Ergodic Limits, Relaxations, and Geometric Properties of Random Walk Node Embeddings—0
Estimating mixed memberships in multi-layer networks—0
Estimating Stochastic Block Models in the Presence of Covariates—0
Differentially Private Community Detection for Stochastic Block Models—0
Estimating the Size of a Large Network and its Communities from a Random Sample—0
Detection in the stochastic block model with multiple clusters: proof of the achievability conjectures, acyclic BP, and the information-computation gap—0
Estimation of dense stochastic block models visited by random walks—0
Detecting Overlapping Communities in Networks Using Spectral Methods—0
Detecting Dynamic Community Structure in Functional Brain Networks Across Individuals: A Multilayer Approach—0
Clustering Degree-Corrected Stochastic Block Model with Outliers—0
A Nearly-Linear Time Algorithm for Exact Community Recovery in Stochastic Block Model—0
Active learning in the geometric block model—0
Density Evolution in the Degree-correlated Stochastic Block Model—0
Characterizing the Influence of Topology on Graph Learning Tasks—0
Convexified Modularity Maximization for Degree-corrected Stochastic Block Models—0
Convergence Guarantees for the DeepWalk Embedding on Block Models—0
Change Point Estimation in a Dynamic Stochastic Block Model—0
A Near-Linear Time Approximation Algorithm for Beyond-Worst-Case Graph Clustering—0
Controllability of Coarsely Measured Networked Linear Dynamical Systems (Extended Version)—0
Contextual Stochastic Block Model: Sharp Thresholds and Contiguity—0
Blind identification of stochastic block models from dynamical observations—0
Consistent model selection in the spiked Wigner model via AIC-type criteria—0
Consistency of Spectral Hypergraph Partitioning under Planted Partition Model—0
Bayesian Model Selection of Stochastic Block Models—0
Analysis of spectral clustering algorithms for community detection: the general bipartite setting—0
Active Learning for Community Detection in Stochastic Block Models—0
Achieving the Bayes Error Rate in Synchronization and Block Models by SDP, Robustly—0
Achieving Exact Cluster Recovery Threshold via Semidefinite Programming—0
Consistency of Spectral Clustering on Hierarchical Stochastic Block Models—0
Community detection for weighted bipartite networks—0
Bayesian modelling of VAR precision matrices using stochastic block networks—0
Consensus on Open Multi-Agent Systems Over Graphs Sampled from Graphons—0
Connectivity in Random Annulus Graphs and the Geometric Block Model—0
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