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Stochastic Block Model

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Showing 1–50 of 370 papers

TitleStatusHype
Examining the Effects of Degree Distribution and Homophily in Graph Learning ModelsCode1
Graph Attention RetrospectiveCode1
Transformers meet Stochastic Block Models: Attention with Data-Adaptive Sparsity and CostCode1
A network approach to topic modelsCode1
SSSNET: Semi-Supervised Signed Network ClusteringCode1
Adaptive Universal Generalized PageRank Graph Neural NetworkCode1
MSGNN: A Spectral Graph Neural Network Based on a Novel Magnetic Signed LaplacianCode1
What Is Missing In Homophily? Disentangling Graph Homophily For Graph Neural NetworksCode1
Interpretable Clustering on Dynamic Graphs with Recurrent Graph Neural NetworksCode1
Community Detection in Bipartite Networks with Stochastic BlockmodelsCode1
One-Hot Graph Encoder EmbeddingCode1
On the Universality of Graph Neural Networks on Large Random GraphsCode1
When Do Graph Neural Networks Help with Node Classification? Investigating the Impact of Homophily Principle on Node DistinguishabilityCode1
Synergistic Graph Fusion via Encoder EmbeddingCode1
A Dirichlet stochastic block model for composition-weighted networks—0
Achieving the KS threshold in the general stochastic block model with linearized acyclic belief propagation—0
Achieving Exact Cluster Recovery Threshold via Semidefinite Programming—0
Active learning in the geometric block model—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
Gap-Free Clustering: Sensitivity and Robustness of SDP—0
Analysis of Corrected Graph Convolutions—0
Analysis of spectral clustering algorithms for community detection: the general bipartite setting—0
A Near-Linear Time Approximation Algorithm for Beyond-Worst-Case Graph Clustering—0
A Nearly-Linear Time Algorithm for Exact Community Recovery in Stochastic Block Model—0
An Ensemble Framework for Detecting Community Changes in Dynamic Networks—0
Achieving Optimal Misclassification Proportion in Stochastic Block Model—0
Adapting the Stochastic Block Model to Edge-Weighted Networks—0
An Impossibility Result for Reconstruction in a Degree-Corrected Planted-Partition Model—0
An improved spectral clustering method for community detection under the degree-corrected stochastic blockmodel—0
Clustering Partially Observed Graphs via Convex Optimization—0
ALMA: Alternating Minimization Algorithm for Clustering Mixture Multilayer Network—0
A likelihood-ratio type test for stochastic block models with bounded degrees—0
A computational transition for detecting correlated stochastic block models by low-degree polynomials—0
Clustering Sparse Graphs—0
A statistical interpretation of spectral embedding: the generalised random dot product graph—0
Algorithms for item categorization based on ordinal ranking data—0
Clustering Degree-Corrected Stochastic Block Model with Outliers—0
A stochastic block model for community detection in attributed networks—0
A Tensor Approach to Learning Mixed Membership Community Models—0
A Tractable Fully Bayesian Method for the Stochastic Block Model—0
A useful criterion on studying consistent estimation in community detection—0
Auto-encoding GPS data to reveal individual and collective behaviour—0
Active Community Detection with Maximal Expected Model Change—0
Bayesian estimation from few samples: community detection and related problems—0
Bayesian modelling of VAR precision matrices using stochastic block networks—0
Bayesian Model Selection of Stochastic Block Models—0
Blind identification of stochastic block models from dynamical observations—0
Change Point Estimation in a Dynamic Stochastic Block Model—0
Algorithmic detectability threshold of the stochastic block model—0
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