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Stochastic Block Model

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TitleStatusHype
Spectral redemption: clustering sparse networks—0
Statistical-Computational Tradeoffs in Planted Problems and Submatrix Localization with a Growing Number of Clusters and Submatrices—0
The Hierarchy of Block Models—0
Statistical inference of assortative community structures—0
Statistical Limits of Convex Relaxations—0
Statistical physics analysis of graph neural networks: Approaching optimality in the contextual stochastic block model—0
Stochastic Block Model for Hypergraphs: Statistical limits and a semidefinite programming approach—0
Stochastic Block Models with Multiple Continuous Attributes—0
Streaming Belief Propagation for Community Detection—0
Information-Theoretic Limits and Strong Consistency on Binary Non-uniform Hypergraph Stochastic Block Models—0
Strong Consistency, Graph Laplacians, and the Stochastic Block Model—0
Structure Amplification on Multi-layer Stochastic Block Models—0
Systematic assessment of the quality of fit of the stochastic block model for empirical networks—0
Testing Changes in Communities for the Stochastic Block Model—0
The Block Point Process Model for Continuous-Time Event-Based Dynamic Networks—0
The Geometric Block Model—0
The Infinite Degree Corrected Stochastic Block Model—0
The non-tightness of the reconstruction threshold of a 4 states symmetric model with different in-block and out-block mutations—0
Theoretical and Computational Guarantees of Mean Field Variational Inference for Community Detection—0
Towards a Query-Optimal and Time-Efficient Algorithm for Clustering with a Faulty Oracle—0
Tractably Modelling Dependence in Networks Beyond Exchangeability—0
Unified Fourier bases for signals on random graphs with group symmetries—0
Uniform Hypergraph Partitioning: Provable Tensor Methods and Sampling Techniques—0
Universality of the stochastic block model—0
Unraveling the graph structure of tabular data through Bayesian and spectral analysis—0
Unsupervised Learning for Optimal Transport plan prediction between unbalanced graphs—0
VEM-GCN: Topology Optimization with Variational EM for Graph Convolutional Networks—0
Vertex Classification on Weighted Networks—0
Vertex nomination schemes for membership prediction—0
Vertex nomination: The canonical sampling and the extended spectral nomination schemes—0
When Does Bottom-up Beat Top-down in Hierarchical Community Detection?—0
On the Fundamental Limits of Matrix Completion: Leveraging Hierarchical Similarity Graphs—0
Achieving Exact Cluster Recovery Threshold via Semidefinite Programming—0
Achieving Exact Cluster Recovery Threshold via Semidefinite Programming: Extensions—0
Achieving Optimal Misclassification Proportion in Stochastic Block Model—0
Achieving the Bayes Error Rate in Synchronization and Block Models by SDP, Robustly—0
Achieving the KS threshold in the general stochastic block model with linearized acyclic belief propagation—0
A class of network models recoverable by spectral clustering—0
A Compressive Sensing Approach to Community Detection with Applications—0
A computational transition for detecting correlated stochastic block models by low-degree polynomials—0
Active Community Detection with Maximal Expected Model Change—0
Active Learning for Community Detection in Stochastic Block Models—0
Active learning in the geometric block model—0
Adapting the Stochastic Block Model to Edge-Weighted Networks—0
A Dirichlet stochastic block model for composition-weighted networks—0
Algorithmic contiguity from low-degree conjecture and applications in correlated random graphs—0
Algorithmic detectability threshold of the stochastic block model—0
Algorithms for item categorization based on ordinal ranking data—0
A likelihood-ratio type test for stochastic block models with bounded degrees—0
ALMA: Alternating Minimization Algorithm for Clustering Mixture Multilayer Network—0
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