Search Results for author:
Found 3 papers, 2 papers with code
Nested stochastic block model for simultaneously clustering networks and nodes
We introduce the nested stochastic block model (NSBM) to cluster a collection of networks while simultaneously detecting communities within each network.
Bayesian community detection for networks with covariates
The increasing prevalence of network data in a vast variety of fields and the need to extract useful information out of them have spurred fast developments in related models and algorithms.
Bayesian classification, anomaly detection, and survival analysis using network inputs with application to the microbiome
While the study of a single network is well-established, technological advances now allow for the collection of multiple networks with relative ease.
Applications
Cannot find the paper you are looking for? You can
Submit a new open access paper.
