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@COMPiLELab

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

COMPiLE __ Computational Learning __ Lab

Popular repositories

  1. HyperND HyperND Public

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

    Python 13 1

  2. DLRT-Net DLRT-Net Public

    Dynamical low rank training for neural networks

    Python 8 2

  3. core-periphery-hypergraphs core-periphery-hypergraphs Public

    Julia 6

  4. NHOLS NHOLS Public

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

    Python 1

  5. HOLaGraF HOLaGraF Public

    The code for Higher-Order Laplacian Gradient Flow for "Quantifying the structural stability of simplicial homology" by N.Guglielmi, A.Savostianov and F.Tudisco

    Julia 1

  6. krylov_robustness krylov_robustness Public

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

    MATLAB 1

Repositories

Showing 10 of 11 repositories
  • HeCS Public

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

    Julia 1 0 0 0 Updated Jan 31, 2024
  • numera Public
    HTML 0 0 0 0 Updated Jan 8, 2024
  • MPNSM Public

    A nonlinear spectral core-periphery detection method for multiplex networks

    Julia 1 GPL-2.0 0 0 0 Updated Nov 14, 2023
  • CondLR Public

    Robust low-rank training via approximate orthonormal constraints

    Python 0 AGPL-3.0 0 0 0 Updated Oct 27, 2023
  • krylov_robustness Public

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

    MATLAB 1 GPL-3.0 0 0 0 Updated Sep 19, 2023
  • DLRT-Net Public

    Dynamical low rank training for neural networks

    Python 8 2 0 0 Updated Aug 24, 2023
  • Learning-the-right-layers-on-multilayer-graphs Public Forked from ftudisco/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.

    Jupyter Notebook 0 2 0 0 Updated May 29, 2023
  • HOLaGraF Public

    The code for Higher-Order Laplacian Gradient Flow for "Quantifying the structural stability of simplicial homology" by N.Guglielmi, A.Savostianov and F.Tudisco

    Julia 1 0 0 0 Updated Dec 23, 2022
  • NHOLS Public

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

    Python 1 0 0 0 Updated Nov 28, 2022
  • HyperND Public

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

    Python 13 1 0 0 Updated Jun 6, 2022
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