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Stochastic Block Model

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Showing 251–300 of 370 papers

TitleStatusHype
Minimax Rates for Robust Community Detection—0
Modelling time evolving interactions in networks through a non stationary extension of stochastic block models—0
Model Selection for Degree-corrected Block Models—0
Modularity aided consistent attributed graph clustering via coarsening—0
Multi-Agent Q-Learning Dynamics in Random Networks: Convergence due to Exploration and Sparsity—0
Multilayer hypergraph clustering using the aggregate similarity matrix—0
Multiplex Dirichlet stochastic block model for clustering multidimensional compositional networks—0
Multisection in the Stochastic Block Model using Semidefinite Programming—0
Nested stochastic block model for simultaneously clustering networks and nodes—0
Network two-sample test for block models—0
Neural-prior stochastic block model—0
Neural Stochastic Block Model & Scalable Community-Based Graph Learning—0
Non-Backtracking Spectrum of Degree-Corrected Stochastic Block Models—0
Non-backtracking walks reveal compartments in sparse chromatin interaction networks—0
Non-Convex Joint Community Detection and Group Synchronization via Generalized Power Method—0
Nondiagonal Mixture of Dirichlet Network Distributions for Analyzing a Stock Ownership Network—0
On Classification Thresholds for Graph Attention with Edge Features—0
On Consistency of Compressive Spectral Clustering—0
On consistency of constrained spectral clustering under representation-aware stochastic block model—0
On the Consistency of the Likelihood Maximization Vertex Nomination Scheme: Bridging the Gap Between Maximum Likelihood Estimation and Graph Matching—0
On the Fundamental Limits of Matrix Completion: Leveraging Hierarchical Similarity Graphs—0
On the Minimax Misclassification Ratio of Hypergraph Community Detection—0
On the Power of Louvain in the Stochastic Block Model—0
On the Power of SVD in the Stochastic Block Model—0
On the simplicity and conditioning of low rank semidefinite programs—0
On the Robustness of Spectral Algorithms for Semirandom Stochastic Block Models—0
On the Simultaneous Preservation of Privacy and Community Structure in Anonymized Networks—0
On the Stability of Low Pass Graph Filter With a Large Number of Edge Rewires—0
Optimal Bailouts in Diversified Financial Networks—0
Optimal Bipartite Network Clustering—0
Optimal Clustering of Discrete Mixtures: Binomial, Poisson, Block Models, and Multi-layer Networks—0
Optimal Cluster Recovery in the Labeled Stochastic Block Model—0
Optimal Noise Reduction in Dense Mixed-Membership Stochastic Block Models under Diverging Spiked Eigenvalues Condition—0
Optimal Exact Recovery in Semi-Supervised Learning: A Study of Spectral Methods and Graph Convolutional Networks—0
Optimal Inference in Contextual Stochastic Block Models—0
Optimality of variational inference for stochasticblock model with missing links—0
Revisiting the Bethe-Hessian: Improved Community Detection in Sparse Heterogeneous Graphs—0
Orthogonal symmetric non-negative matrix factorization under the stochastic block model—0
Overlapping Communities Detection via Measure Space Embedding—0
Community and hyperedge inference in multiple hypergraphsCode0
Graph Community Detection from Coarse Measurements: Recovery Conditions for the Coarsened Weighted Stochastic Block ModelCode0
Graph Convolution for Semi-Supervised Classification: Improved Linear Separability and Out-of-Distribution GeneralizationCode0
Clustering in Partially Labeled Stochastic Block Models via Total Variation MinimizationCode0
Community detection in sparse time-evolving graphs with a dynamical Bethe-HessianCode0
Almost Surely Asymptotically Constant Graph Neural NetworksCode0
DYMAG: Rethinking Message Passing Using Dynamical-systems-based WaveformsCode0
Guarantees for Spectral Clustering with Fairness ConstraintsCode0
Community Detection in the Stochastic Block Model by Mixed Integer ProgrammingCode0
Semi-Supervised Clustering with Inaccurate Pairwise AnnotationsCode0
Targeted sampling from massive block model graphs with personalized PageRankCode0
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