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Found 5 papers, 3 papers with code
Clustering Network Layers With the Strata Multilayer Stochastic Block Model
While each layer provides its own set of information, community structure across layers can be collectively utilized to discover and quantify underlying relational patterns between nodes.
Compressing networks with super nodes
Community detection is a commonly used technique for identifying groups in a network based on similarities in connectivity patterns.
Social and Information Networks Physics and Society
Stochastic Block Models with Multiple Continuous Attributes
While there are recent examples in the literature that combine connectivity and attribute information to inform community detection, our model is the first augmented stochastic block model to handle multiple continuous attributes.
Transparent Single-Cell Set Classification with Kernel Mean Embeddings
Each profiled biological sample is thus represented by a set of hundreds of thousands of multidimensional cell feature vectors, which incurs a high computational cost to predict each biological sample's associated phenotype with machine learning models.
Distribution-based Sketching of Single-Cell Samples
Modern high-throughput single-cell immune profiling technologies, such as flow and mass cytometry and single-cell RNA sequencing can readily measure the expression of a large number of protein or gene features across the millions of cells in a multi-patient cohort.
