Computational Machine Learning Group @ University of Edinburgh & GSSI L'Aquila

Computational Machine Learning Group @ University of Edinburgh & GSSI L'Aquila's repositories

HyperND

The implementation of HyperND from the Nonlinear Feature Diffusion on Hypergraphs paper

Language:Python1300

DLRT-Net

Dynamical low rank training for neural networks

Language:Python800

HeCS

Heavy Collapsible preconditioner for linear systems with weighted Hodge Laplacians on simplicial complexes

Language:Julia100

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

Language:Julia1 20

CondLR

Robust low-rank training via approximate orthonormal constraints

Language:PythonAGPL-3.0000

krylov_robustness

Code and data for "Optimizing network robustness via Krylov subspaces"

Language:MATLABGPL-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

MPNSM

A nonlinear spectral core-periphery detection method for multiplex networks

Language:JuliaGPL-2.0000

NHOLS

The code for Nonlinear Higher-Order Label Spreading paper presented at WWW'2021

Language:Python000

numera

Language:HTML000

Computational Machine Learning Group @ University of Edinburgh & GSSI L'Aquila

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