This repository contains a companion Jupyter notebook and datasets for the paper "Module-based regularization improves Gaussian graphical models when observing noisy data", by Magnus Neuman, Joaquín Calatayud, Viktor Tasselius and Martin Rosvall.
Code for the paper "Module-based regularization improves Gaussian graphical models when observing noisy data"
This repository contains a companion Jupyter notebook and datasets for the paper "Module-based regularization improves Gaussian graphical models when observing noisy data", by Magnus Neuman, Joaquín Calatayud, Viktor Tasselius and Martin Rosvall.
Code for the paper "Module-based regularization improves Gaussian graphical models when observing noisy data"