Benoit Gaüzère

Orcid: 0000-0001-9980-2641

According to our database1, Benoit Gaüzère authored at least 44 papers between 2011 and 2023.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

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Bibliography

2023
Detecting dynamic patterns in dynamic graphs using subgraph isomorphism.
Pattern Anal. Appl., August, 2023

Maximal Independent Sets for Pooling in Graph Neural Networks.
Proceedings of the Graph-Based Representations in Pattern Recognition, 2023

Graph Normalizing Flows to Pre-image Free Machine Learning for Regression.
Proceedings of the Graph-Based Representations in Pattern Recognition, 2023

Bridging Distinct Spaces in Graph-Based Machine Learning.
Proceedings of the Pattern Recognition - 7th Asian Conference, 2023

2022
Graph kernels based on linear patterns: Theoretical and experimental comparisons.
Expert Syst. Appl., 2022

Maximal Independent Vertex Set Applied to Graph Pooling.
Proceedings of the Structural, Syntactic, and Statistical Pattern Recognition, 2022

A differentiable approximation for the Linear Sum Assignment Problem with Edition.
Proceedings of the 26th International Conference on Pattern Recognition, 2022

2021
Symbols Detection and Classification using Graph Neural Networks.
Pattern Recognit. Lett., 2021

graphkit-learn: A Python library for graph kernels based on linear patterns.
Pattern Recognit. Lett., 2021

Scalable generalized median graph estimation and its manifold use in bioinformatics, clustering, classification, and indexing.
Inf. Syst., 2021

A new Sinkhorn algorithm with Deletion and Insertion operations.
CoRR, 2021

Breaking the Limits of Message Passing Graph Neural Networks.
Proceedings of the 38th International Conference on Machine Learning, 2021

Analyzing the Expressive Power of Graph Neural Networks in a Spectral Perspective.
Proceedings of the 9th International Conference on Learning Representations, 2021

2020
Fast linear sum assignment with error-correction and no cost constraints.
Pattern Recognit. Lett., 2020

Predicting experimental electrophilicities from quantum and topological descriptors: A machine learning approach.
J. Comput. Chem., 2020

Bridging the Gap Between Spectral and Spatial Domains in Graph Neural Networks.
CoRR, 2020

A Metric Learning Approach to Graph Edit Costs for Regression.
Proceedings of the Structural, Syntactic, and Statistical Pattern Recognition, 2020

A Graph Pre-image Method Based on Graph Edit Distances.
Proceedings of the Structural, Syntactic, and Statistical Pattern Recognition, 2020

2019
Graph Neural Network for Symbol Detection on Document Images.
Proceedings of the 13th IAPR International Workshop on Graphics Recognition, 2019

Generalized Median Graph via Iterative Alternate Minimizations.
Proceedings of the Graph-Based Representations in Pattern Recognition, 2019

2018
Approximate Graph Edit Distance by Several Local Searches in Parallel.
Proceedings of the 7th International Conference on Pattern Recognition Applications and Methods, 2018

2017
Graph edit distance as a quadratic assignment problem.
Pattern Recognit. Lett., 2017

Graph edit distance contest: Results and future challenges.
Pattern Recognit. Lett., 2017

A Hungarian Algorithm for Error-Correcting Graph Matching.
Proceedings of the Graph-Based Representations in Pattern Recognition, 2017

2016
Approximating Graph Edit Distance Using GNCCP.
Proceedings of the Structural, Syntactic, and Statistical Pattern Recognition, 2016

Graph edit distance as a quadratic program.
Proceedings of the 23rd International Conference on Pattern Recognition, 2016

2015
Treelet kernel incorporating cyclic, stereo and inter pattern information in chemoinformatics.
Pattern Recognit., 2015

A Quadratic Assignment Formulation of the Graph Edit Distance.
CoRR, 2015

Semantic Web Technologies for Object Tracking and Video Analytics.
Proceedings of the Advances in Visual Computing - 11th International Symposium, 2015

Human Tracking Using a Top-Down and Knowledge Based Approach.
Proceedings of the Image Analysis and Processing - ICIAP 2015, 2015

Approximate Graph Edit Distance Computation Combining Bipartite Matching and Exact Neighborhood Substructure Distance.
Proceedings of the Graph-Based Representations in Pattern Recognition, 2015

Human action recognition using an improved string edit distance.
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.
Proceedings of the Structural, Syntactic, and Statistical Pattern Recognition, 2014

Graph Kernel Encoding Substituents' Relative Positioning.
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.).
PhD thesis, 2013

Noyau de Treelets appliqué aux graphes étiquetés et aux graphes de cycles.
Rev. d'Intelligence Artif., 2013

Relevant Cycle Hypergraph Representation for Molecules.
Proceedings of the Graph-Based Representations in Pattern Recognition, 2013

A Comparison of Explicit and Implicit Graph Embedding Methods for Pattern Recognition.
Proceedings of the Graph-Based Representations in Pattern Recognition, 2013

2012
Two new graphs kernels in chemoinformatics.
Pattern Recognit. Lett., 2012

Implicit and Explicit Graph Embedding: Comparison of Both Approaches on Chemoinformatics Applications.
Proceedings of the Structural, Syntactic, and Statistical Pattern Recognition, 2012

Graph Kernels: Crossing Information from Different Patterns Using Graph Edit Distance.
Proceedings of the Structural, Syntactic, and Statistical Pattern Recognition, 2012

Graph kernels based on relevant patterns and cycle information for chemoinformatics.
Proceedings of the 21st International Conference on Pattern Recognition, 2012

Shape similarity based on combinatorial maps and a tree pattern kernel.
Proceedings of the 21st International Conference on Pattern Recognition, 2012

2011
Two New Graph Kernels and Applications to Chemoinformatics.
Proceedings of the Graph-Based Representations in Pattern Recognition, 2011


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