Computational Machine Learning Group @ University of Edinburgh & GSSI L'Aquila's repositories
krylov_robustness
Code and data for "Optimizing network robustness via Krylov subspaces"
CondLR
Robust low-rank training via approximate orthonormal constraints
Language:PythonAGPL-3.0000
Learning-the-right-layers-on-multilayer-graphs
This repository contains the codes of the paper "Learning the right layers: a data-driven layer-aggregation strategy for semi-supervised learning on multilayer graphs" by Sara Venturini, Andrea Cristofari, Francesco Rinaldi, Francesco Tudisco.
Language:Jupyter Notebook000
Language:HTML000