Benoit Gaüzère

54 papers A* 2B 6C 1Journal 22Unranked 21

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Graph Neural Networks with maximal independent set-based pooling: Mitigating over-smoothing and over-squashing. Pattern Recognit. Lett. Stevan Stanovic, Benoit Gaüzère, Luc Brun
2025	—	`ed.`	Graph-Based Representations in Pattern Recognition - 14th IAPR-TC-15 International Workshop, GbRPR 2025, Caen, France, June 25-27, 2025, Proceedings GbRPR Luc Brun, Vincenzo Carletti, Sébastien Bougleux, Benoit Gaüzère
2025	—	`conf`	Insights on Using Graph Neural Networks for Sulcal Graphs Predictive Models. GbRPR Alexis Imbert, Benoit Gaüzère, Sylvain Takerkart, Guillaume Auzias, Paul Honeine
2025	J	`jnl`	Pre-image free graph machine learning with Normalizing Flows. Pattern Recognit. Lett. Clément Glédel, Benoit Gaüzère, Paul Honeine
2024	—	`conf`	A Differentiable Approximation of the Graph Edit Distance. S+SSPR Julia Wallnig, Luc Brun, Benoit Gaüzère, Sébastien Bougleux, Florian Yger, David B. Blumenthal
2024	J	`jnl`	Predicting redox potentials by graph-based machine learning methods. J. Comput. Chem. Linlin Jia, Éric Brémond, Larissa Zaida, Benoit Gaüzère, Vincent Tognetti, Laurent Joubert
2023	—	`conf`	Bridging Distinct Spaces in Graph-Based Machine Learning. ACPR (2) Linlin Jia, Xiao Ning, Benoit Gaüzère, Paul Honeine, Kaspar Riesen
2023	J	`jnl`	Detecting dynamic patterns in dynamic graphs using subgraph isomorphism. Pattern Anal. Appl. Kamaldeep Singh Oberoi, Géraldine Del Mondo, Benoit Gaüzère, Yohan Dupuis, Pascal Vasseur
2023	—	`conf`	Graph Normalizing Flows to Pre-image Free Machine Learning for Regression. GbRPR Clément Glédel, Benoit Gaüzère, Paul Honeine
2023	—	`conf`	Maximal Independent Sets for Pooling in Graph Neural Networks. GbRPR Stevan Stanovic, Benoit Gaüzère, Luc Brun
2023	J	`jnl`	Maximal Independent Sets for Pooling in Graph Neural Networks. CoRR Stevan Stanovic, Benoit Gaüzère, Luc Brun
2022	B	`conf`	A differentiable approximation for the Linear Sum Assignment Problem with Edition. ICPR Luc Brun, Benoit Gaüzère, Guillaume Renton, Sébastien Bougleux, Florian Yger
2022	J	`jnl`	Graph kernels based on linear patterns: Theoretical and experimental comparisons. Expert Syst. Appl. Linlin Jia, Benoit Gaüzère, Paul Honeine
2022	—	`conf`	Maximal Independent Vertex Set Applied to Graph Pooling. S+SSPR Stevan Stanovic, Benoit Gaüzère, Luc Brun
2022	J	`jnl`	Maximal Independent Vertex Set applied to Graph Pooling. CoRR Stevan Stanovic, Benoit Gaüzère, Luc Brun
2021	J	`jnl`	A new Sinkhorn algorithm with Deletion and Insertion operations. CoRR Luc Brun, Benoit Gaüzère, Sébastien Bougleux, Florian Yger
2021	A*	`conf`	Analyzing the Expressive Power of Graph Neural Networks in a Spectral Perspective. ICLR Muhammet Balcilar, Guillaume Renton, Pierre Héroux, Benoit Gaüzère, Sébastien Adam, Paul Honeine
2021	A*	`conf`	Breaking the Limits of Message Passing Graph Neural Networks. ICML Muhammet Balcilar, Pierre Héroux, Benoit Gaüzère, Pascal Vasseur, Sébastien Adam, Paul Honeine
2021	J	`jnl`	Breaking the Limits of Message Passing Graph Neural Networks. CoRR Muhammet Balcilar, Pierre Héroux, Benoit Gaüzère, Pascal Vasseur, Sébastien Adam, Paul Honeine
2021	J	`jnl`	Scalable generalized median graph estimation and its manifold use in bioinformatics, clustering, classification, and indexing. Inf. Syst. David B. Blumenthal, Nicolas Boria, Sébastien Bougleux, Luc Brun, Johann Gamper, Benoit Gaüzère
2021	J	`jnl`	Symbols Detection and Classification using Graph Neural Networks. Pattern Recognit. Lett. Guillaume Renton, Muhammet Balcilar, Pierre Héroux, Benoit Gaüzère, Paul Honeine, Sébastien Adam
2021	J	`jnl`	graphkit-learn: A Python library for graph kernels based on linear patterns. Pattern Recognit. Lett. Linlin Jia, Benoit Gaüzère, Paul Honeine
2020	—	`conf`	A Graph Pre-image Method Based on Graph Edit Distances. S+SSPR Linlin Jia, Benoit Gaüzère, Paul Honeine
2020	—	`conf`	A Metric Learning Approach to Graph Edit Costs for Regression. S+SSPR Linlin Jia, Benoit Gaüzère, Florian Yger, Paul Honeine
2020	J	`jnl`	Bridging the Gap Between Spectral and Spatial Domains in Graph Neural Networks. CoRR Muhammet Balcilar, Guillaume Renton, Pierre Héroux, Benoit Gaüzère, Sébastien Adam, Paul Honeine
2020	J	`jnl`	Fast linear sum assignment with error-correction and no cost constraints. Pattern Recognit. Lett. Sébastien Bougleux, Benoit Gaüzère, David B. Blumenthal, Luc Brun
2020	J	`jnl`	Predicting experimental electrophilicities from quantum and topological descriptors: A machine learning approach. J. Comput. Chem. Guillaume Hoffmann, Muhammet Balcilar, Vincent Tognetti, Pierre Héroux, Benoit Gaüzère, Sébastien Adam, Laurent Joubert
2019	—	`conf`	Generalized Median Graph via Iterative Alternate Minimizations. GbRPR Nicolas Boria, Sébastien Bougleux, Benoit Gaüzère, Luc Brun
2019	J	`jnl`	Generalized Median Graph via Iterative Alternate Minimizations. CoRR Nicolas Boria, Sébastien Bougleux, Benoit Gaüzère, Luc Brun
2019	—	`conf`	Graph Neural Network for Symbol Detection on Document Images. GREC@ICDAR Guillaume Renton, Pierre Héroux, Benoit Gaüzère, Sébastien Adam
2018	C	`conf`	Approximate Graph Edit Distance by Several Local Searches in Parallel. ICPRAM Évariste Daller, Sébastien Bougleux, Benoit Gaüzère, Luc Brun
2017	—	`conf`	A Hungarian Algorithm for Error-Correcting Graph Matching. GbRPR Sébastien Bougleux, Benoit Gaüzère, Luc Brun
2017	J	`jnl`	Graph edit distance as a quadratic assignment problem. Pattern Recognit. Lett. Sébastien Bougleux, Luc Brun, Vincenzo Carletti, Pasquale Foggia, Benoit Gaüzère, Mario Vento
2017	J	`jnl`	Graph edit distance contest: Results and future challenges. Pattern Recognit. Lett. Zeina Abu-Aisheh, Benoit Gaüzère, Sébastien Bougleux, Jean-Yves Ramel, Luc Brun, Romain Raveaux, Pierre Héroux, Sébastien Adam
2016	—	`conf`	Approximating Graph Edit Distance Using GNCCP. S+SSPR Benoit Gaüzère, Sébastien Bougleux, Luc Brun
2016	B	`conf`	Graph edit distance as a quadratic program. ICPR Sébastien Bougleux, Benoit Gaüzère, Luc Brun
2015	J	`jnl`	A Quadratic Assignment Formulation of the Graph Edit Distance. CoRR Sébastien Bougleux, Luc Brun, Vincenzo Carletti, Pasquale Foggia, Benoit Gaüzère, Mario Vento
2015	—	`conf`	Approximate Graph Edit Distance Computation Combining Bipartite Matching and Exact Neighborhood Substructure Distance. GbRPR Vincenzo Carletti, Benoit Gaüzère, Luc Brun, Mario Vento
2015	—	`conf`	Human Tracking Using a Top-Down and Knowledge Based Approach. ICIAP (1) Benoit Gaüzère, Pierluigi Ritrovato, Alessia Saggese, Mario Vento
2015	B	`conf`	Human action recognition using an improved string edit distance. AVSS Pasquale Foggia, Benoit Gaüzère, Alessia Saggese, Mario Vento
2015	—	`conf`	Semantic Web Technologies for Object Tracking and Video Analytics. ISVC (2) Benoit Gaüzère, Claudia Greco, Pierluigi Ritrovato, Alessia Saggese, Mario Vento
2015	J	`jnl`	Treelet kernel incorporating cyclic, stereo and inter pattern information in chemoinformatics. Pattern Recognit. Benoit Gaüzère, Pierre-Anthony Grenier, Luc Brun, Didier Villemin
2014	—	`conf`	Approximate Graph Edit Distance Guided by Bipartite Matching of Bags of Walks. S+SSPR Benoit Gaüzère, Sébastien Bougleux, Kaspar Riesen, Luc Brun
2014	B	`conf`	Graph Kernel Encoding Substituents' Relative Positioning. ICPR Benoit Gaüzère, Luc Brun, Didier Villemin
2013	—	`conf`	A Comparison of Explicit and Implicit Graph Embedding Methods for Pattern Recognition. GbRPR Donatello Conte, Jean-Yves Ramel, Nicolas Sidere, Muhammad Muzzamil Luqman, Benoit Gaüzère, Jaume Gibert, Luc Brun, Mario Vento
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
2013	J	`jnl`	Noyau de Treelets appliqué aux graphes étiquetés et aux graphes de cycles. Rev. d'Intelligence Artif. Benoit Gaüzère, Luc Brun, Didier Villemin
2013	—	`conf`	Relevant Cycle Hypergraph Representation for Molecules. GbRPR Benoit Gaüzère, Luc Brun, Didier Villemin
2012	—	`conf`	Graph Kernels: Crossing Information from Different Patterns Using Graph Edit Distance. SSPR/SPR Benoit Gaüzère, Luc Brun, Didier Villemin
2012	B	`conf`	Graph kernels based on relevant patterns and cycle information for chemoinformatics. ICPR Benoit Gaüzère, Luc Brun, Didier Villemin, Myriam Brun
2012	—	`conf`	Implicit and Explicit Graph Embedding: Comparison of Both Approaches on Chemoinformatics Applications. SSPR/SPR Benoit Gaüzère, Makoto Hasegawa, Luc Brun, Salvatore Tabbone
2012	B	`conf`	Shape similarity based on combinatorial maps and a tree pattern kernel. ICPR Sébastien Bougleux, François-Xavier Dupé, Luc Brun, Benoit Gaüzère, Myriam Mokhtari
2012	J	`jnl`	Two new graphs kernels in chemoinformatics. Pattern Recognit. Lett. Benoit Gaüzère, Luc Brun, Didier Villemin
2011	—	`conf`	Two New Graph Kernels and Applications to Chemoinformatics. GbRPR Benoit Gaüzère, Luc Brun, Didier Villemin