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@barahona-research-group

Barahona Research - Applied Math - Imperial

Research codes developed in the Barahona research group - Department of Mathematics - Imperial College London

Pinned

  1. hcga Public

    Highly Comparative Graph Analysis - Code for network phenotyping

    Python 24 8

  2. PyGenStability Public

    PyGenStability: Multiscale community detection with generalized Markov Stability

    C++ 20 9

  3. MultiscaleCentrality Public

    Graph centrality is a question of scale - Multiscale centrality (MSC) is a scale dependent measure of centrality on complex networks.

    Jupyter Notebook 6 7

  4. GDR Public

    Graph Diffusion Reclassification - Code from the paper "Semi-supervised classification on graphs using explicit diffusion dynamics" by RL Peach, A Arnaudon and M Barahona, Foundations of Data Scien…

    Python 3 2

  5. StEP Public

    Contact tracing is a key tool in epidemiology to identify and control outbreaks of infectious diseases. Existing contact tracing methodologies produce linked networks of individuals based on a bina…

    R 1

  6. DynGDim Public

    Dynamic Graph Dimensionality is a methodology for computing the relative, local and global dimension of complex networks.

    Python 7 3

Repositories

  • PyGenStability Public

    PyGenStability: Multiscale community detection with generalized Markov Stability

    C++ 20 GPL-3.0 9 2 0 Updated May 19, 2023
  • hcga Public

    Highly Comparative Graph Analysis - Code for network phenotyping

    Python 24 GPL-3.0 8 11 1 Updated May 15, 2023
  • MCF Public

    Code for the paper "Persistent Homology of the Multiscale Clustering Filtration" by Dominik J. Schindler and Mauricio Barahona: https://arxiv.org/abs/2305.04281

    Jupyter Notebook 0 GPL-3.0 0 0 0 Updated May 9, 2023
  • ICE-NODE Public

    Integration of Clinical Embeddings with Neural ODEs

    Jupyter Notebook 5 GPL-3.0 0 0 0 Updated Apr 26, 2023
  • MultiscaleMobilityPatterns Public

    Code for the paper "Multiscale mobility patterns and the restriction of human movement" by Dominik J Schindler, Jonathan M Clarke and Mauricio Barahona: https://arxiv.org/abs/2201.06323

    Jupyter Notebook 0 GPL-3.0 0 0 0 Updated Apr 6, 2023
  • BayesFactorSimilarity Public

    Code for the paper "Similarity Measure for Sparse Time Course Data Based on Gaussian Processes" by Z Liu and M Barahona, accepted at UAI 2021, https://arxiv.org/abs/2102.12342

    MATLAB 1 0 0 0 Updated Feb 3, 2023
  • POPs Public

    POPs: Propensity Optimised Paths

    Python 2 GPL-3.0 1 0 0 Updated Jan 16, 2023
  • scIHPF Public

    single-cell Integrative Hierarchical Poisson Factorisation

    Jupyter Notebook 0 0 0 0 Updated Nov 17, 2022
  • DynGDim Public

    Dynamic Graph Dimensionality is a methodology for computing the relative, local and global dimension of complex networks.

    Python 7 GPL-3.0 3 0 0 Updated Sep 15, 2021
  • MultiscaleCentrality Public

    Graph centrality is a question of scale - Multiscale centrality (MSC) is a scale dependent measure of centrality on complex networks.

    Jupyter Notebook 6 GPL-3.0 7 1 0 Updated Jun 28, 2021
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