Computational Machine Learning Group @ University of Edinburgh & GSSI L'Aquila
COMPiLE __ Computational Learning __ Lab
United Kingdom
Pinned Repositories
CondLR
Robust low-rank training via approximate orthonormal constraints
core-periphery-hypergraphs
DLRT-Net
Dynamical low rank training for neural networks
HeCS
Heavy Collapsible preconditioner for linear systems with weighted Hodge Laplacians on simplicial complexes
HOLaGraF
The code for Higher-Order Laplacian Gradient Flow for "Quantifying the structural stability of simplicial homology" by N.Guglielmi, A.Savostianov and F.Tudisco
HyperND
The implementation of HyperND from the Nonlinear Feature Diffusion on Hypergraphs paper
krylov_robustness
Code and data for "Optimizing network robustness via Krylov subspaces"
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.
MPNSM
A nonlinear spectral core-periphery detection method for multiplex networks
NHOLS
The code for Nonlinear Higher-Order Label Spreading paper presented at WWW'2021
Computational Machine Learning Group @ University of Edinburgh & GSSI L'Aquila's Repositories
COMPiLELab/HyperND
The implementation of HyperND from the Nonlinear Feature Diffusion on Hypergraphs paper
COMPiLELab/DLRT-Net
Dynamical low rank training for neural networks
COMPiLELab/core-periphery-hypergraphs
COMPiLELab/HeCS
Heavy Collapsible preconditioner for linear systems with weighted Hodge Laplacians on simplicial complexes
COMPiLELab/HOLaGraF
The code for Higher-Order Laplacian Gradient Flow for "Quantifying the structural stability of simplicial homology" by N.Guglielmi, A.Savostianov and F.Tudisco
COMPiLELab/krylov_robustness
Code and data for "Optimizing network robustness via Krylov subspaces"
COMPiLELab/MPNSM
A nonlinear spectral core-periphery detection method for multiplex networks
COMPiLELab/NHOLS
The code for Nonlinear Higher-Order Label Spreading paper presented at WWW'2021
COMPiLELab/CondLR
Robust low-rank training via approximate orthonormal constraints
COMPiLELab/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.
COMPiLELab/SubDEQ
Official implementation for the paper: "Subhomogeneous Deep Equilibrium Models"
COMPiLELab/numera