wangronglu/CISE: Common and Individual Structure Explained for Multiple Graphs

Specific dimension reduction methods for replicated graphs (multiple undirected graphs repeatedly measured on a common set of nodes). The package contains efficient procedures for estimating a shared baseline propensity matrix and graph-specific low rank matrices. The algorithm uses block coordinate descent algorithm to solve the model as described in the paper linked to via the URL below, which alternatively performs L2-penalized logistic regression and multiple partial eigenvalue decompositions.

install.packages("remotes")
remotes::install_github("wangronglu/CISE")