Benoit Gaüzère

According to our database, Benoit Gaüzère authored at least 46 papers between 2011 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2025

Graph Neural Networks with maximal independent set-based pooling: Mitigating over-smoothing and over-squashing.

Stevan Stanovic, Benoit Gaüzère, Luc Brun

Pattern Recognit. Lett., 2025

2024

Predicting redox potentials by graph-based machine learning methods.

Linlin Jia, Éric Brémond, Larissa Zaida, Benoit Gaüzère, Vincent Tognetti, Laurent Joubert

J. Comput. Chem., October, 2024

2023

Detecting dynamic patterns in dynamic graphs using subgraph isomorphism.

Kamaldeep Singh Oberoi, Géraldine Del Mondo, Benoit Gaüzère, Yohan Dupuis, Pascal Vasseur

Pattern Anal. Appl., August, 2023

Maximal Independent Sets for Pooling in Graph Neural Networks.

Stevan Stanovic, Benoit Gaüzère, Luc Brun

Proceedings of the Graph-Based Representations in Pattern Recognition, 2023

Graph Normalizing Flows to Pre-image Free Machine Learning for Regression.

Clément Glédel, Benoit Gaüzère, Paul Honeine

Proceedings of the Graph-Based Representations in Pattern Recognition, 2023

Bridging Distinct Spaces in Graph-Based Machine Learning.

Linlin Jia, Xiao Ning, Benoit Gaüzère, Paul Honeine, Kaspar Riesen

Proceedings of the Pattern Recognition - 7th Asian Conference, 2023

2022

Graph kernels based on linear patterns: Theoretical and experimental comparisons.

Linlin Jia, Benoit Gaüzère, Paul Honeine

Expert Syst. Appl., 2022

Maximal Independent Vertex Set Applied to Graph Pooling.

Stevan Stanovic, Benoit Gaüzère, Luc Brun

Proceedings of the Structural, Syntactic, and Statistical Pattern Recognition, 2022

A differentiable approximation for the Linear Sum Assignment Problem with Edition.

Luc Brun, Benoit Gaüzère, Guillaume Renton, Sébastien Bougleux, Florian Yger

Proceedings of the 26th International Conference on Pattern Recognition, 2022

2021

Symbols Detection and Classification using Graph Neural Networks.

Guillaume Renton, Muhammet Balcilar, Pierre Héroux, Benoit Gaüzère, Paul Honeine, Sébastien Adam

Pattern Recognit. Lett., 2021

graphkit-learn: A Python library for graph kernels based on linear patterns.

Linlin Jia, Benoit Gaüzère, Paul Honeine

Pattern Recognit. Lett., 2021

Scalable generalized median graph estimation and its manifold use in bioinformatics, clustering, classification, and indexing.

David B. Blumenthal, Nicolas Boria, Sébastien Bougleux, Luc Brun, Johann Gamper, Benoit Gaüzère

Inf. Syst., 2021

A new Sinkhorn algorithm with Deletion and Insertion operations.

Luc Brun, Benoit Gaüzère, Sébastien Bougleux, Florian Yger

CoRR, 2021

Breaking the Limits of Message Passing Graph Neural Networks.

Muhammet Balcilar, Pierre Héroux, Benoit Gaüzère, Pascal Vasseur, Sébastien Adam, Paul Honeine

Proceedings of the 38th International Conference on Machine Learning, 2021

Analyzing the Expressive Power of Graph Neural Networks in a Spectral Perspective.

Muhammet Balcilar, Guillaume Renton, Pierre Héroux, Benoit Gaüzère, Sébastien Adam, Paul Honeine

Proceedings of the 9th International Conference on Learning Representations, 2021

2020

Fast linear sum assignment with error-correction and no cost constraints.

Sébastien Bougleux, Benoit Gaüzère, David B. Blumenthal, Luc Brun

Pattern Recognit. Lett., 2020

Predicting experimental electrophilicities from quantum and topological descriptors: A machine learning approach.

Guillaume Hoffmann, Muhammet Balcilar, Vincent Tognetti, Pierre Héroux, Benoit Gaüzère, Sébastien Adam, Laurent Joubert

J. Comput. Chem., 2020

Bridging the Gap Between Spectral and Spatial Domains in Graph Neural Networks.

Muhammet Balcilar, Guillaume Renton, Pierre Héroux, Benoit Gaüzère, Sébastien Adam, Paul Honeine

CoRR, 2020

A Metric Learning Approach to Graph Edit Costs for Regression.

Linlin Jia, Benoit Gaüzère, Florian Yger, Paul Honeine

Proceedings of the Structural, Syntactic, and Statistical Pattern Recognition, 2020

A Graph Pre-image Method Based on Graph Edit Distances.

Linlin Jia, Benoit Gaüzère, Paul Honeine

Proceedings of the Structural, Syntactic, and Statistical Pattern Recognition, 2020

2019

Graph Neural Network for Symbol Detection on Document Images.

Guillaume Renton, Pierre Héroux, Benoit Gaüzère, Sébastien Adam

Proceedings of the 13th IAPR International Workshop on Graphics Recognition, 2019

Generalized Median Graph via Iterative Alternate Minimizations.

Nicolas Boria, Sébastien Bougleux, Benoit Gaüzère, Luc Brun

Proceedings of the Graph-Based Representations in Pattern Recognition, 2019

2018

Approximate Graph Edit Distance by Several Local Searches in Parallel.

Évariste Daller, Sébastien Bougleux, Benoit Gaüzère, Luc Brun

Proceedings of the 7th International Conference on Pattern Recognition Applications and Methods, 2018

2017

Graph edit distance as a quadratic assignment problem.

Sébastien Bougleux, Luc Brun, Vincenzo Carletti, Pasquale Foggia, Benoit Gaüzère, Mario Vento

Pattern Recognit. Lett., 2017

Graph edit distance contest: Results and future challenges.

Zeina Abu-Aisheh, Benoit Gaüzère, Sébastien Bougleux, Jean-Yves Ramel, Luc Brun, Romain Raveaux, Pierre Héroux, Sébastien Adam

Pattern Recognit. Lett., 2017

A Hungarian Algorithm for Error-Correcting Graph Matching.

Sébastien Bougleux, Benoit Gaüzère, Luc Brun

Proceedings of the Graph-Based Representations in Pattern Recognition, 2017

2016

Approximating Graph Edit Distance Using GNCCP.

Benoit Gaüzère, Sébastien Bougleux, Luc Brun

Proceedings of the Structural, Syntactic, and Statistical Pattern Recognition, 2016

Graph edit distance as a quadratic program.

Sébastien Bougleux, Benoit Gaüzère, Luc Brun

Proceedings of the 23rd International Conference on Pattern Recognition, 2016

2015

Treelet kernel incorporating cyclic, stereo and inter pattern information in chemoinformatics.

Benoit Gaüzère, Pierre-Anthony Grenier, Luc Brun, Didier Villemin

Pattern Recognit., 2015

A Quadratic Assignment Formulation of the Graph Edit Distance.

Sébastien Bougleux, Luc Brun, Vincenzo Carletti, Pasquale Foggia, Benoit Gaüzère, Mario Vento

CoRR, 2015

Semantic Web Technologies for Object Tracking and Video Analytics.

Benoit Gaüzère, Claudia Greco, Pierluigi Ritrovato, Alessia Saggese, Mario Vento

Proceedings of the Advances in Visual Computing - 11th International Symposium, 2015

Human Tracking Using a Top-Down and Knowledge Based Approach.

Benoit Gaüzère, Pierluigi Ritrovato, Alessia Saggese, Mario Vento

Proceedings of the Image Analysis and Processing - ICIAP 2015, 2015

Approximate Graph Edit Distance Computation Combining Bipartite Matching and Exact Neighborhood Substructure Distance.

Vincenzo Carletti, Benoit Gaüzère, Luc Brun, Mario Vento

Proceedings of the Graph-Based Representations in Pattern Recognition, 2015

Human action recognition using an improved string edit distance.

Pasquale Foggia, Benoit Gaüzère, Alessia Saggese, Mario Vento

Proceedings of the 12th IEEE International Conference on Advanced Video and Signal Based Surveillance, 2015

2014

Approximate Graph Edit Distance Guided by Bipartite Matching of Bags of Walks.

Benoit Gaüzère, Sébastien Bougleux, Kaspar Riesen, Luc Brun

Proceedings of the Structural, Syntactic, and Statistical Pattern Recognition, 2014

Graph Kernel Encoding Substituents' Relative Positioning.

Benoit Gaüzère, Luc Brun, Didier Villemin

Proceedings of the 22nd International Conference on Pattern Recognition, 2014

2013

Application des méthodes à noyaux sur graphes pour la prédiction des propriétés des molécules. (Graph kernels for the prediction of molecular properties.).

Benoit Gaüzère

PhD thesis, 2013

Noyau de Treelets appliqué aux graphes étiquetés et aux graphes de cycles.

Benoit Gaüzère, Luc Brun, Didier Villemin

Rev. d'Intelligence Artif., 2013

Relevant Cycle Hypergraph Representation for Molecules.

Benoit Gaüzère, Luc Brun, Didier Villemin

Proceedings of the Graph-Based Representations in Pattern Recognition, 2013

A Comparison of Explicit and Implicit Graph Embedding Methods for Pattern Recognition.

Donatello Conte, Jean-Yves Ramel, Nicolas Sidere, Muhammad Muzzamil Luqman, Benoit Gaüzère, Jaume Gibert, Luc Brun, Mario Vento

Proceedings of the Graph-Based Representations in Pattern Recognition, 2013

2012

Two new graphs kernels in chemoinformatics.

Benoit Gaüzère, Luc Brun, Didier Villemin

Pattern Recognit. Lett., 2012

Implicit and Explicit Graph Embedding: Comparison of Both Approaches on Chemoinformatics Applications.

Benoit Gaüzère, Makoto Hasegawa, Luc Brun, Salvatore Tabbone

Proceedings of the Structural, Syntactic, and Statistical Pattern Recognition, 2012

Graph Kernels: Crossing Information from Different Patterns Using Graph Edit Distance.

Benoit Gaüzère, Luc Brun, Didier Villemin

Proceedings of the Structural, Syntactic, and Statistical Pattern Recognition, 2012

Graph kernels based on relevant patterns and cycle information for chemoinformatics.

Benoit Gaüzère, Luc Brun, Didier Villemin, Myriam Brun

Proceedings of the 21st International Conference on Pattern Recognition, 2012

Shape similarity based on combinatorial maps and a tree pattern kernel.

Sébastien Bougleux, François-Xavier Dupé, Luc Brun, Benoit Gaüzère, Myriam Mokhtari

Proceedings of the 21st International Conference on Pattern Recognition, 2012

2011

Two New Graph Kernels and Applications to Chemoinformatics.

Benoit Gaüzère, Luc Brun, Didier Villemin

Proceedings of the Graph-Based Representations in Pattern Recognition, 2011