Publications (137) FRANCISCO JAVIER ESCOLANO RUIZ publications

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2025

  1. Node classification in the heterophilic regime via diffusion-jump GNNs

    Neural Networks, Vol. 181

2024

  1. HEX-GNN: Hierarchical EXpanders for Node Classification

    Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

2023

  1. Predicting COVID-19 pandemic waves including vaccination data with deep learning

    Frontiers in Public Health, Vol. 11

2022

  1. Algorithmic Censorship of Art: A Proposed Research Agenda

    Proceedings of the 13th International Conference on Computational Creativity, ICCC 2022

  2. Cambio de metodología para mejorar la enseñanza-aprendizaje de Matemáticas 2

    Memorias del Programa de Redes de investigación en docencia universitaria: Convocatoria 2021-22 (Instituto de Ciencias de la Educación), pp. 1351-1367

  3. DiffWire: Inductive Graph Rewiring via the Lovász Bound

    Proceedings of Machine Learning Research

  4. Open Data Science to Fight COVID-19: Winning the 500k XPRIZE Pandemic Response Challenge (Extended Abstract)

    IJCAI International Joint Conference on Artificial Intelligence

  5. OpenFilter: A Framework to Democratize Research Access to Social Media AR Filters

    Advances in Neural Information Processing Systems

2021

  1. Análisis de la transición de clases presenciales a modalidad online

    Memorias del Programa de Redes-I3CE de calidad, innovación e investigación en docencia universitaria: Convocatoria 2020-21 (Instituto de Ciencias de la Educación), pp. 2475-2483

  2. Network embedding from the line graph: Random walkers and boosted classification

    Pattern Recognition Letters, Vol. 143, pp. 36-42

  3. Open Data Science to Fight COVID-19: Winning the 500k XPRIZE Pandemic Response Challenge

    Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

  4. The Entropy of Graph Embeddings: A Proxy of Potential Mobility in Covid19 Outbreaks

    Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

2020

  1. An efficient, dense and long-range marker system for the guidance of the visually impaired

    Machine Vision and Applications, Vol. 31, Núm. 7-8

  2. Early detection of Alzheimer's disease: Detecting asymmetries with a return random walk link predictor

    Entropy, Vol. 22, Núm. 4

  3. On learning random forests for random forest-clustering

    Proceedings - International Conference on Pattern Recognition

  4. Seeking affinity structure: Strategies for improving m-best graph matching

    Information Sciences, Vol. 509, pp. 164-182

2019

  1. Dirichlet densifier bounds: Densifying beyond the spectral gap constraint

    Pattern Recognition Letters, Vol. 125, pp. 425-431

  2. Dirichlet densifiers for improved commute times estimation

    Pattern Recognition, Vol. 91, pp. 56-68

  3. Network Embedding by Walking on the Line Graph

    Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

2018

  1. Bragg diffraction patterns as graph characteristics

    Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)