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Mauricio Barahona

Imperial College London - Department of Mathematics

South Kensington Campus

Imperial College

LONDON, SW7 2AZ

United Kingdom

  • Imperial College London - Department of Mathematics

SCHOLARLY PAPERS

4

DOWNLOADS

272

TOTAL CITATIONS

0

Scholarly Papers (4)

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1.

Complex Interlinkages, Key Objectives and Nexuses Amongst the Sustainable Development Goals and Climate Change

Number of pages: 65 Posted: 16 Feb 2021
Felix Laumann, Julius von Kügelgen, Thiago Hector Kanashiro Uehara and Mauricio Barahona
Imperial College London - Department of Mathematics, Empirical Inference Department, Max Planck Institute for Intelligent Systems, Centre for Environmental Policy, Imperial College London and Imperial College London - Department of Mathematics
Downloads 167 (449,518)

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sdgs, climate change, interlinkages, complex networks

2.

Geometric Graphs from Data to Aid Classification Tasks with Graph Convolutional Networks

Number of pages: 29 Posted: 16 Oct 2020
Yifan Qian, Paul Expert, Pietro Panzarasa and Mauricio Barahona
Queen Mary University of London - School of Business and Management, Imperial College London - School of Public Health, Queen Mary University of London - School of Business and Management and Imperial College London - Department of Mathematics
Downloads 42 (1,157,785)

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classification tasks, machine learning, graph convolutional networks, graph neural networks, geometric deep learning, graph construction, graph sparsification, graph theory, network science, data science

3.

HCGA: Highly Comparative Graph Analysis for Network Phenotyping

Number of pages: 18 Posted: 27 Oct 2020
Robert Lucien Peach, Alexis Arnaudon, Julia A. Schmidt, Henry A. Palasciano, Nathan R. Bernier, Kim Jelfs, Sophia Yaliraki and Mauricio Barahona
Imperial College London - Department of Mathematics, Imperial College London - Department of Mathematics, Imperial College London - Department of Chemistry, Imperial College London - Department of Mathematics, EPFL Innovation Park, Imperial College London - Department of Chemistry, Imperial College London - Department of Chemistry and Imperial College London - Department of Mathematics
Downloads 34 (1,263,436)

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Highthroughput phenotyping, Networks

4.

ANTIPASTI: Interpretable Prediction of Antibody Binding Affinity Exploiting Normal Modes and Deep Learning

Number of pages: 26 Posted: 10 Jan 2024
Kevin Michalewicz, Mauricio Barahona and Barbara Bravi
Imperial College London, Imperial College London - Department of Mathematics and Imperial College London
Downloads 29 (1,332,057)

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Antibody, Binding Affinity, Deep Learning, Interpretability, Normal Mode Analysis, Protein Structures