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Publications about 'graph signal processing'
Articles in journal or book chapters
  1. Gaëtan Frusque, Pierre Borgnat, Paulo Gonçalves, and Julien Jung. Semi-automatic extraction of functional dynamic networks describing patient's epileptic seizures. Frontiers in Neurology, 2020. Keyword(s): dynamic grahps, epilepsy, functional connectivity, graph signal processing, epileptogenic networks. [bibtex-entry]


  2. Gaëtan Frusque, Julien Jung, Pierre Borgnat, and Paulo Gonçalves. Multiplex network inference with sparse tensor decomposition for functional connectivity. IEEE Transactions on Signal and Information Processing over Networks, 2020. Note: To appear. Keyword(s): graph signal processing, graphical lasso, graphs, neurosciences. [bibtex-entry]


  3. F. Hua, C. Richard, C. Jie, W. Haiyan, P. Borgnat, and P. Gonçalves. Designing Convex Combination of Graph Filters. IEEE Signal Processing Letters, 2019. Note: To appear.Keyword(s): graph signal processing. [bibtex-entry]


  4. B. Ricaud, P. Borgnat, N. Tremblay, P. Gonçalves, and P. Vandergheynst. Fourier could be a Data Scientist: from Graph Fourier Transform to Signal Processing on Graphs. Comptes Rendus de l'Académie des Sciences, Série A, 2019. Keyword(s): graph signal processing. [bibtex-entry]


  5. N. Tremblay, P. Gonçalves, and P. Borgnat. Design of graph filters and filterbanks. In Elsevier, editor, Cooperative and Graph Signal Processing. 2018. Keyword(s): graph signal processing, graphs,. [bibtex-entry]


  6. M. Tsitsvero, P. Borgnat, and P. Gonçalves. Analytic signal in many dimensions. 2018. Note: Submitted to Applied and Computational Harmonic Analysis. Keyword(s): graph signal processing, graphs, harmonic analysis. [bibtex-entry]


  7. B. Girault, P. Gonçalves, and E. Fleury. Translation on Graphs: an Isometric Shift Operator. IEEE, Signal Processing Letters, 22(12):2416-2420, December 2015. Keyword(s): graph signal processing, stationnarity. [bibtex-entry]


Conference articles
  1. Amélie Barbe, Marc Sebban, Paulo Gonçalves, Pierre Borgnat, and Rémi Gribonval. Graph Diffusion Wasserstein Distances. In European Conference on Machine Learning, 2020. Keyword(s): optimal transport, graph signal processing, Diffusion on graphs, classification, domain adaptation. [bibtex-entry]


  2. Amélie Barbe, Marc Sebban, Paulo Gonçalves, Pierre Borgnat, and Rémi Gribonval. Transport Optimal entre Graphes exploitant la Diffusion de la Chaleur. In Conférence sur l'Apprentissage automatique, 2020. Keyword(s): optimal transport, graph signal processing, Diffusion on graphs, domain adaptation. [bibtex-entry]


  3. Gaëtan Frusque, Pierre Borgnat, Paulo Gonçalves, and Julien Jung. Extraction of functional dynamic networks describing patient's epileptic seizures. In Conference on Complex Systems, December 7-11 2020. Keyword(s): graph signal processing, graphical lasso, graphs, neurosciences, dynamic grahps, epileptogenic networks. [bibtex-entry]


  4. Gaëtan Frusque, Julien Jung, Pierre Borgnat, and Paulo Gonçalves. Regularized partial phase synchrony index applied to dynamical functional connectivity estimation. In IEEE Int. Conf. on Acoust. Speech and Sig. Proc., Barcelona, Spain, 2020. Keyword(s): graph signal processing, estimation, graphical lasso. [bibtex-entry]


  5. Gaëtan Frusque, Julien Jung, Pierre Borgnat, and Paulo Gonçalves. Temporarily Activated Patterns for Multi-trial Functional Connectivity Data. In Second Internaitonal Conference on Advances in Signal Processing and Artifical Intelligence (ASPAI), Berlin (Germany), November 2020. Keyword(s): epileptogenic networks, graph signal processing, graphical lasso, dynamic grahps. [bibtex-entry]


  6. S. De Nigris, E. Bautista, P. Abry, K. Avrachenkov, and P. Gonçalves. Fractional Graph-based Semi-Supervised Learning. In International School and Conference on Network Science, Paris (France), June 2018. Keyword(s): graph based semi-supervised learning, graph signal processing,. [bibtex-entry]


  7. M. Tsitsvero, P. Borgnat, and P. Gonçalves. Multidimensional analytic signals with application on graphs. In IEEE Satistical Signal Processing Workshop, 2018. Keyword(s): graph signal processing, harmonic analysis, multi-dimensional signals. [bibtex-entry]


  8. E. Bautista, S. De Nigris, P. Abry, K. Avrachenkov, and P. Gonçalves. Lévy Flights for Graph Based Semi-Supervised Classification. In Proceeding of the 26th colloquium GRETSI, 2017. Keyword(s): graph based semi-supervised learning, graph signal processing, random walks, Lévy flights. [bibtex-entry]


  9. S. De Nigris, E. Bautista, P. Abry, K. Avrachenkov, and P. Gonçalves. Fractional Graph-based Semi-Supervised Learning. In Proc. 25th European Signal Processing Conference, 2017. Keyword(s): graph based semi-supervised learning, graph signal processing, random walks, Lévy flights. [bibtex-entry]


  10. B. Girault, S. Narayanan, A. Ortega, P. Gonçalves, and E. Fleury. GRASP: A matlab toolbox for graph signal processing. In IEEE Int. Conf. on Acoust. Speech and Sig. Proc., New Orleans (US), March 2017. Keyword(s): graph signal processing, Matlab toolbox. [bibtex-entry]


  11. B. Girault, P. Gonçalves, S. Narayanan, and A. Ortega. Localization bounds for the graph translation. In IEEE Global Conference on Signal and Information Processing, 2016. Keyword(s): graph signal processing, stationnarity,. [bibtex-entry]


  12. P. Borgnat, P. Gonçalves, N. Tremblay, and N. Willaime-Angonin. Community mining with graph filters for correlation matrices. In Asilomar Conference on Signals, Systems, and Computers, 2015. Keyword(s): graph signal processing, communities detection, classification, random matrices. [bibtex-entry]


  13. B. Girault, P. Gonçalves, and E. Fleury. Signaux sur Graphe Stationnaires: Etude d'un Cas Réel. In Proceedings of the 25th Colloquium GRETSI, Lyon (France), 2015. Keyword(s): graph signal processing. [bibtex-entry]


  14. B. Girault, E. Fleury, and P. Gonçalves. Traitement du Signal sur Graphe: Interprétation en termes de Filtre de l'Apprentissage Semi-Supervisé sur Graphe. In ALGOTEL 2014 -- 16èmes Rencontres Francophones sur les Aspects Algorithmiques des Télécommunications, 2014. Keyword(s): graph signal processing, graph based semi-supervised learning, machine learning. [bibtex-entry]


  15. B. Girault, P. Gonçalves, E. Fleury, and A. Singh Mor. GRASP: A matlab toolbox for graph signal processing. In IEEE Int. Conf. on Acoust. Speech and Sig. Proc., Firenze (Italy), May 2014. Keyword(s): graph signal processing, graph based semi-supervised learning, machine learning. [bibtex-entry]


Internal reports
  1. B. Girault, P. Gonçalves, and E. Fleury. Translation and Stationarity for Graph Signal. Technical report RR-8719, INRIA, 2015. Keyword(s): graph signal processing, stochastic model. [bibtex-entry]



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Last modified: Tue Nov 10 11:09:36 2020
Author: pgoncalv.


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