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Paul Honeine
10
Documents
Identifiants chercheurs
- paul-honeine
- 0000-0002-3042-183X
- Google Scholar : https://scholar.google.com/citations?user=yxk7n1kAAAAJ&hl=en
- IdRef : 13564609X
Présentation
Publications
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A Study On The Stability of Graph Edit Distance HeuristicsElectronics, 2022, 11 (20), pp.3312. ⟨10.3390/electronics11203312⟩
Article dans une revue
hal-03816056v1
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graphkit-learn : a Python Library for Graph Kernels Based on Linear PatternsPattern Recognition Letters, 2021, 143, pp.113-121. ⟨10.1016/j.patrec.2021.01.003⟩
Article dans une revue
hal-03111016v1
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Bridging Distinct Spaces in Graph-based Machine Learning7th Asian Conference on Pattern Recognition (ACPR2023), Nov 2023, Kitakyushu, Japan. ⟨10.1007/978-3-031-47637-2_1⟩
Communication dans un congrès
hal-04194644v2
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Normalizing Flow appliqué aux problèmes de pré-image de noyau24-ème Conférence d’Apprentissage automatique (CAp), Jul 2022, Vannes, France. pp.1-10
Communication dans un congrès
hal-03749104v1
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Analyzing the Expressive Power of Graph Neural Networks in a Spectral PerspectiveProceedings of the International Conference on Learning Representations (ICLR), May 2021, Vienna, Austria
Communication dans un congrès
hal-03135633v1
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A Graph Pre-image Method Based on Graph Edit DistancesProceedings of IAPR Joint International Workshops on Statistical techniques in Pattern Recognition (SPR 2020) and Structural and Syntactic Pattern Recognition (SSPR 2020)., Jan 2021, Venise, Italy. ⟨10.1007/978-3-030-73973-7_21⟩
Communication dans un congrès
hal-03128660v2
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A Metric Learning Approach to Graph Edit Costs for RegressionProceedings of IAPR Joint International Workshops on Statistical techniques in Pattern Recognition (SPR 2020) and Structural and Syntactic Pattern Recognition (SSPR 2020), Jan 2021, Venise, Italy. ⟨10.1007/978-3-030-73973-7_23⟩
Communication dans un congrès
hal-03128664v1
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Spectral-designed depthwise separable graph neural networksProceedings of Thirty-seventh International Conference on Machine Learning (ICML 2020) - Workshop on Graph Representation Learning and Beyond (GRL+ 2020), Jul 2020, Vienna, Austria
Communication dans un congrès
hal-03088372v1
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Bridging the Gap Between Spectral and Spatial Domains in Graph Neural Networks2020
Pré-publication, Document de travail
hal-02515637v1
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Graph Kernels Based on Linear Patterns: Theoretical and Experimental Comparisons2019
Pré-publication, Document de travail
hal-02053946v1
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