Model-based clustering in simple hypergraphs through a stochastic blockmodel
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Publication:6641034
DOI10.1111/sjos.12754MaRDI QIDQ6641034
Publication date: 20 November 2024
Published in: Scandinavian Journal of Statistics (Search for Journal in Brave)
high-order interactionslatent variable modelnon-uniform hypergraphco-authorship networkvariational expectation-maximizationline clustering
Cites Work
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- Modeling heterogeneity in random graphs through latent space models: a selective review
- Asymptotic normality of maximum likelihood and its variational approximation for stochastic blockmodels
- New results on degree sequences of uniform hypergraphs
- Consistency of spectral hypergraph partitioning under planted partition model
- Parameter identifiability in a class of random graph mixture models
- Spectral clustering and the high-dimensional stochastic blockmodel
- On the minimal penalty for Markov order estimation
- Networks beyond pairwise interactions: structure and dynamics
- Three-way arrays: rank and uniqueness of trilinear decompositions, with application to arithmetic complexity and statistics
- Consistency of maximum-likelihood and variational estimators in the stochastic block model
- An introduction to variational methods for graphical models
- Model-based clustering for random hypergraphs
- Exact recovery in the hypergraph stochastic block model: a spectral algorithm
- Cluster Inference by Using Transitivity Indices in Empirical Graphs
- Model selection and clustering in stochastic block models based on the exact integrated complete data likelihood
- Configuration models of random hypergraphs
- The Why, How, and When of Representations for Complex Systems
- Analytical maximum-likelihood method to detect patterns in real networks
- Estimation of the Number of Communities in the Stochastic Block Model
- On the Minimax Misclassification Ratio of Hypergraph Community Detection
- What Are Higher-Order Networks?
- Strong consistency of spectral clustering for the sparse degree-corrected hypergraph stochastic block model
- Latent Space Modeling of Hypergraph Data
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