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Found 3 papers, 3 papers with code
Generative hypergraph clustering: from blockmodels to modularity
Many graph algorithms for this task are based on variants of the stochastic blockmodel, a random graph with flexible cluster structure.
Moments of Uniform Random Multigraphs with Fixed Degree Sequences
Many network data sets are neither large, sparse, nor simple, and in these cases the approximation no longer applies.
Social and Information Networks Probability Data Analysis, Statistics and Probability Physics and Society 05C80, 05C82, 91D30, 62-07, 65C05
Configuration Models of Random Hypergraphs and their Applications
In this work, we develop a class of random null models for polyadic data in the framework of hypergraphs, therefore circumventing the need for projection.
Probability Social and Information Networks Data Analysis, Statistics and Probability Physics and Society Applications
