Curriculum Vitæ

Linlin Jia, Benoit Gaüzère, Paul Honeine. graphkit-learn: A Python Library for Graph Kernels Based on Linear Patterns. Pattern Recognition Letters, Elsevier, 2021, 143, pp.113-121. ⟨10.1016/j.patrec.2021.01.003⟩. ⟨hal-03111016⟩

David Blumenthal, Nicolas Boria, Sébastien Bougleux, Luc Brun, Johann Gamper, et al.. Scalable generalized median graph estimation and its manifold use in bioinformatics, clustering, classification, and indexing. Information Systems, Elsevier, 2021, 100, pp.101766. ⟨10.1016/j.is.2021.101766⟩. ⟨hal-03195247⟩

Sébastien Bougleux, Benoit Gaüzère, David Blumenthal, Luc Brun. Fast linear sum assignment with error-correction and no cost constraints. Pattern Recognition Letters, Elsevier, 2018, ⟨10.1016/j.patrec.2018.03.032⟩. ⟨hal-02110718⟩

Zeina Abu-Aisheh, Benoit Gaüzère, Sébastien Bougleux, Jean-yves Ramel, Luc Brun, et al.. Graph edit distance contest: Results and future challenges. Pattern Recognition Letters, Elsevier, 2017, 100, pp.96-103. ⟨10.1016/j.patrec.2017.10.007⟩. ⟨hal-01624592⟩

Sébastien Bougleux, Luc Brun, Vincenzo Carletti, Pasquale Foggia, Benoit Gaüzère, et al.. Graph edit distance as a quadratic assignment problem. Pattern Recognition Letters, Elsevier, 2017, 87, pp.38 - 46. ⟨10.1016/j.patrec.2016.10.001⟩. ⟨hal-01613964⟩

Benoit Gaüzère, Pierre-Anthony Grenier, Luc Brun, Didier Villemin. Treelet kernel incorporating cyclic, stereo and inter pattern information in Chemoinformatics. Pattern Recognition, Elsevier, 2014, 30 p. ⟨10.1016/j.patcog.2014.07.029⟩. ⟨hal-01066295⟩

Benoit Gaüzère, Luc Brun, Didier Villemin. Noyau de Treelets appliqué aux graphes étiquetés et aux graphes de cycles. Revue des Sciences et Technologies de l'Information - Série RIA : Revue d'Intelligence Artificielle, Lavoisier, 2013, 27 (1), pp.121-144. ⟨10.3166/ria.27.121-144⟩. ⟨hal-00847279⟩

Benoit Gaüzère, Luc Brun, Didier Villemin. Two New Graphs Kernels in Chemoinformatics. Pattern Recognition Letters, Elsevier, 2012, 33 (15), pp.2038-2047. ⟨hal-00773283⟩

Stevan Stanovic, Benoit Gaüzère, Luc Brun. Ensemble de sommets indépendant maximal appliqué au pooling sur graphes. Congrès Reconnaissance des Formes, Image, Apprentissage et Perception ( RFIAP), Jul 2022, VANNES, France. ⟨hal-03696263⟩

Muhammet Balcilar, Renton Guillaume, Pierre Héroux, Benoit Gaüzère, Sébastien Adam, et al.. Analyzing the Expressive Power of Graph Neural Networks in a Spectral Perspective. Proceedings of the International Conference on Learning Representations (ICLR), May 2021, Vienna, Austria. ⟨hal-03135633⟩

Linlin Jia, Benoit Gaüzère, Florian yger, Paul Honeine. A Metric Learning Approach to Graph Edit Costs for Regression. Proceedings 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. ⟨hal-03128664⟩

Linlin Jia, Benoit Gaüzère, Paul Honeine. A Graph Pre-image Method Based on Graph Edit Distances. Proceedings 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. ⟨hal-03128660v2⟩

Muhammet Balcilar, Guillaume Renton, Pierre Héroux, Benoit Gaüzère, Sébastien Adam, et al.. Spectral-designed depthwise separable graph neural networks. Proceedings of Thirty-seventh International Conference on Machine Learning (ICML 2020) - Workshop on Graph Representation Learning and Beyond (GRL+ 2020), Jul 2020, Vienna, Austria. ⟨hal-03088372⟩

Guillaume Renton, Pierre Héroux, Sébastien Adam, Benoit Gaüzère. Graph Neural Network for Symbol Detection on Document Images. 13th IAPR International Workshop on Graphics Recognition, Sep 2019, Sydney, Australia. ⟨hal-02490877⟩

Nicolas Boria, Sébastien Bougleux, Benoit Gaüzère, Luc Brun. Generalized Median Graph via Iterative Alternate Minimizations. IAPR International workshop on Graph-Based Representation in Pattern Recognition, Donatello Conte, Jean-Yves Ramel,, Jun 2019, Tours, France. pp.99-109. ⟨hal-02162838⟩

Évariste Daller, Sébastien Bougleux, Benoit Gaüzère, Luc Brun. Approximate Graph Edit Distance by Several Local Searches in Parallel. 7th International Conference on Pattern Recognition Applications and Methods, Jan 2018, Funchal, Madeira, Portugal. ⟨hal-01664529⟩

Guillaume Renton, Benoît Gaüzère, Pierre Héroux, Sébastien Adam. Apprentissage profond pour l'approximation d'une distance d'édition entre graphes. Conférence sur l'Apprentissage Automatique, Jun 2018, Rouen, France. ⟨hal-02057866⟩

Sébastien Bougleux, Benoit Gaüzère, Luc Brun. A Hungarian Algorithm for Error-Correcting Graph Matching. 11th IAPR-TC-15 International Workshop on Graph-Based Representation in Pattern Recognition (GbRPR 2017), Pasquale Foggia, May 2017, AnaCapri, Italy. pp.118-127, ⟨10.1007/978-3-319-58961-9_11⟩. ⟨hal-01540920⟩

Sébastien Bougleux, Benoit Gaüzère, Luc Brun. Appariement d’ensembles avec édition : Application à la distance d’édition bipartie entre graphes. 20ème Congrès National sur la Reconnaissance des Formes et l'Intelligence Artificielle, Jun 2016, Clermont Ferrand, France. ⟨hal-01613979⟩

Benoît Gaüzère, Sébastien Bougleux, Luc Brun. Approximating Graph Edit Distance using GNCCP. Structural, Syntactic, and Statistical Pattern Recognition, Nov 2016, Mérida, Mexico. pp.496--506. ⟨hal-01418936⟩

Sébastien Bougleux, Benoit Gaüzère, Luc Brun. Graph Edit Distance as a Quadratic Program. ICPR 2016 23rd International Conference on Pattern Recognition, Dec 2016, Cancun, Mexico. ⟨hal-01418937⟩

Pasquale Foggia, Benoit Gaüzère, Alessia Saggese, Mario Vento. Human action recognition using an improved string edit distance. 2015 12th IEEE International Conference on Advanced Video and Signal Based Surveillance (AVSS), Aug 2015, Karlsruhe, Germany. pp.1-6. ⟨hal-02128518⟩

Vincenzo Carletti, Benoit Gaüzère, Luc Brun, Mario Vento. Approximate Graph Edit Distance Computation Combining Bipartite Matching and Exact Neighborhood Substructure Distance. Graph-Based Representation in Pattern Recognition, Cheng-Lin Liu ; Bin Luo; Walter G. Kropatsch; Jian Cheng, May 2015, Bejing, China. pp.188 - 197, ⟨10.1007/978-3-319-18224-7_19⟩. ⟨hal-01389626⟩

Benoit Gaüzère, Claudia Greco, Pierluigi Ritrovato, Alessia Saggese, Mario Vento. Semantic Web Technologies for Object Tracking and Video Analytics. Advances in Visual Computing, 2015, Las Vegas, United States. pp.574-585. ⟨hal-02128521⟩

Benoit Gaüzère, Pierluigi Ritrovato, Alessia Saggese, Mario Vento. Human Tracking Using a Top-Down and Knowledge Based Approach. International Conference on Image Analysis and Processing, 2015, Genova, France. pp.257-267. ⟨hal-02128516⟩

Benoit Gaüzère, Luc Brun, Didier Villemin. Graph kernel encoding substituents' relative positioning. International Conference on Pattern Recognition (ICPR), Aug 2014, Stockholm, Sweden. 6 p. ⟨hal-01066389⟩

Benoit Gaüzère, Sébastien Bougleux, Kaspar Riesen, Luc Brun. Approximate Graph Edit Distance Guided by Bipartite Matching of Bags of Walks. Structural, Syntactic, and Statistical Pattern Recognition (S+SSPR),, Aug 2014, Joensuu, Finland. pp.73-82. ⟨hal-01066384⟩

Benoit Gaüzère, Luc Brun, Didier Villemin. Représentation des cycles d'une molécule sous forme d'hypergraphe. Reconnaissance de Formes et Intelligence Artificielle (RFIA) 2014, Jun 2014, Rouen, France. ⟨hal-00989071⟩

Donatello Conte, Jean-yves Ramel, Nicolas Sidère, Muhammad Muzzamil Luqman, Benoit Gaüzère, et al.. A Comparison of Explicit and Implicit Graph Embedding Methods for Pattern Recognition. 9th IAPR - TC 15 workshop on Graph Based Repesentations in Pattern Recognition, May 2013, Vienne, Austria. pp.81. ⟨hal-00829226⟩

Benoit Gaüzère, Luc Brun, Didier Villemin. Relevant Cycle Hypergraph Representation for Molecules. 9th IAPR-TC-15 Graph-Based Representations in Pattern Recognition, May 2013, Austria. pp.111. ⟨hal-00829227⟩

Benoit Gaüzère, Luc Brun, Didier Villemin. A new hypergraph molecular representation. 6 ièmes Journées de la Chémoinformatique., Oct 2013, Nancy, France. pp.1. ⟨hal-00867298⟩

Benoit Gaüzère, Luc Brun, Didier Villemin, Myriam Mokhtari. Graph Kernels Based on Relevant Patterns and Cycle Information for Chemoinformatics. International Conference on Pattern Recognition (ICPR) 2012, Nov 2012, Tsukuba, Japan. pp.000-0000. ⟨hal-00768652⟩

Luc Brun, Sébastien Bougleux, François-Xavier Dupé, Benoit Gaüzère, Myriam Mokhtari. Shape Similarity based on Combinatorial Maps and a Tree Pattern Kernel. 21st International Conference on Pattern Recognition, Nov 2012, Tsukuba, Japan. pp.000-0000. ⟨hal-00768662⟩

Benoit Gaüzère, Luc Brun, Didier Villemin. Noyau de Treelets Appliqué aux Graphes Étiquetés. RFIA 2012 (Reconnaissance des Formes et Intelligence Artificielle), Jan 2012, Lyon, France. pp.978-2-9539515-2-3. ⟨hal-00656519⟩

Benoit Gaüzère, Luc Brun, Didier Villemin. Graph Kernels: Crossing Information from Different Patterns using Graph Edit Distance. Joint IAPR International Workshop, SSPR & SPR 2012, Nov 2012, Hiroshima, Japan. pp.42-50, ⟨10.1007/978-3-642-34166-3_5⟩. ⟨hal-00768658⟩

Benoit Gaüzère, Hasegawa Makoto, Luc Brun, Salvatore Tabbone. Implicit and Explicit Graph Embedding: Comparison of both Approaches on Chemoinformatics Applications. Joint IAPR International Workshop, SSPR & SPR 2012, Nov 2012, Hiroshima, Japan. pp.510-518, ⟨10.1007/978-3-642-34166-3_56⟩. ⟨hal-00768654⟩

Benoit Gaüzère, Luc Brun, Didier Villemin. Two New Graph Kernels and Applications to Chemoinformatics. 8th IAPR-TC15 International Workshop, May 2011, Münster, Germany. pp.112, ⟨10.1007/978-3-642-20844-7⟩. ⟨hal-00596506⟩

Benoit Gaüzère, Luc Brun, Didier Villemin. Deux nouveaux noyaux sur graphes et leurs applications en chimioinformatique. CAp 2011 --- Conférence Francophone d'Apprentissage 2011, May 2011, Chambéry, France. pp.AGS 5. ⟨hal-00596513⟩

Benoit Gaüzère, Luc Brun, Didier Villemin. Graph kernels in chemoinformatics. Matthias Dehmer and Frank Emmert-Streib. Quantitative Graph Theory Mathematical Foundations and Applications, CRC Press, pp.425-470, 2015, 978-1-4665-8451-8. ⟨hal-01201933⟩

Benoit Gaüzère, Luc Brun, Didier Villemin. Graph Kernels in chemoinformatics. Matthias Dehmer and Frank Emmert-Streib. Quantitative Graph Theory: Mathematical Foundations and Applications, Taylor & Francis Group, 2014, 978-1-4665-8451-8. ⟨hal-01921549⟩

Muhammet Balcilar, Guillaume Renton, Pierre Héroux, Benoît Gaüzère, Sébastien Adam, et al.. Bridging the Gap Between Spectral and Spatial Domains in Graph Neural Networks. 2020. ⟨hal-02515637⟩

Linlin Jia, Benoit Gaüzère, Paul Honeine. Graph Kernels Based on Linear Patterns: Theoretical and Experimental Comparisons. 2019. ⟨hal-02053946⟩

Luc Brun, Benoit Gaüzère, Sébastien Bougleux, Florian yger. A new Sinkhorn algorithm with Deletion and Insertion operations. [Research Report] GREYC, UMR 6072. 2021. ⟨hal-03454896v2⟩

Sébastien Bougleux, Luc Brun, Vincenzo Carletti, Pasquale Foggia, Benoit Gaüzère, et al.. A Quadratic Assignment Formulation of the Graph Edit Distance. [Research Report] Normandie Université; GREYC CNRS UMR 6072; LITIS. 2015. ⟨hal-01246709⟩

Luc Brun, Benoit Gaüzère, Sébastien Fourey. Relationships between Graph Edit Distance and Maximal Common Unlabeled Subgraph. 2012. ⟨hal-00714879v4⟩

Benoit Gaüzère. Application des méthodes à noyaux sur graphes pour la prédiction des propriétés des molécules.. Chemo-informatique. Université de Caen, 2013. Français. ⟨tel-00933187⟩