Johannes Lutzeyer

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Michalis VazirgiannisDistinguished Professor, Ecole Polytechnique, Institute Polytechnique de ParisVerified email at lix.polytechnique.fr
George DasoulasPostdoctoral Researcher, Harvard UniversityVerified email at hms.harvard.edu
A T WaldenPROFESSOR OF STATISTICSVerified email at imperial.ac.uk
Guillaume Salha-GalvanDeezer Research / LIX, École PolytechniqueVerified email at lix.polytechnique.fr
Romain HennequinDeezer ResearchVerified email at deezer.com
Changmin WuPhD student, Ecole PolytechniqueVerified email at polytechnique.edu
Mohamed El Amine SeddikSenior researcher at TIIVerified email at tii.ae
Michail ChatzianastasisPhD Student, École PolytechniqueVerified email at lix.polytechnique.fr
Benjamin DoerrProfessor at Ecole Polytechnique, FranceVerified email at lix.polytechnique.fr
Anastasios GiovanidisEricsson Research, CNRS (Dr.-Ing., habil.)Verified email at ericsson.com
Ariel R Ramos VelaMaster's student at Institut Polytechnique de Paris.Verified email at ip-paris.fr
Edward CohenImperial College LondonVerified email at imperial.ac.uk
Giannis NikolentzosPostdoctoral researcherVerified email at polytechnique.edu
Aymen QabelÉcole PolytechniqueVerified email at lix.polytechnique.fr
Henrik BoströmProfessor in computer science - data science systems, KTH Royal Institute of TechnologyVerified email at kth.se

Johannes Lutzeyer

Assistant Professor, École Polytechnique

Verified email at polytechnique.edu - Homepage

Graph Representation Learning Graph Neural Networks Machine Learning


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Learning Parametrised Graph Shift Operators G Dasoulas, J Lutzeyer, M Vazirgiannis International Conference on Learning Representations (ICLR), 2021	15	2021
Modularity-Aware Graph Autoencoders for Joint Community Detection and Link Prediction G Salha-Galvan, JF Lutzeyer, G Dasoulas, R Hennequin, M Vazirgiannis Neural Networks 153, 474-495, 2022	11	2022
Comparing Spectra of Graph Shift Operator Matrices J Lutzeyer, AT Walden International Conference on Complex Networks and Their Applications, 191-202, 2019	9*	2019
Graph Ordering Attention Networks M Chatzianastasis, JF Lutzeyer, G Dasoulas, M Vazirgiannis AAAI Conference on Artificial Intelligence (AAAI), 2022	3	2022
Node Feature Kernels Increase Graph Convolutional Network Robustness MEA Seddik, C Wu, JF Lutzeyer, M Vazirgiannis International Conference on Artificial Intelligence and Statistics (AISTATS), 2021	3	2021
How the move acceptance hyper-heuristic copes with local optima: drastic differences between jumps and cliffs B Doerr, A Dremaux, J Lutzeyer, A Stumpf Proceedings of the Genetic and Evolutionary Computation Conference (GECCO), 2023	2	2023
Network representation matrices and their eigenproperties: a comparative study J Lutzeyer Imperial College London, 2020	2	2020
Extending the Davis-Kahan theorem for comparing eigenvectors of two symmetric matrices II: Computation and Applications JF Lutzeyer, AT Walden arXiv preprint arXiv:1908.03465, 2019	2	2019
Sparsifying the Update Step in Graph Neural Networks JF Lutzeyer, C Wu, M Vazirgiannis ICLR Workshop on Geometrical and Topological Representation Learning, 2022	1	2022
New Frontiers in Graph Autoencoders: Joint Community Detection and Link Prediction G Salha-Galvan, JF Lutzeyer, G Dasoulas, R Hennequin, M Vazirgiannis NeurIPS New Frontiers in Graph Learning Workshop, 2022		2022
Improving Graph Neural Networks at Scale: Combining Approximate PageRank and CoreRank AR Ramos Vela, JF Lutzeyer, A Giovanidis, M Vazirgiannis NeurIPS New Frontiers in Graph Learning Workshop, 2022		2022
Structure-Aware Antibiotic Resistance Classification Using Graph Neural Networks A Qabel, S Ennadir, G Nikolentzos, JF Lutzeyer, M Chatzianastasis, ... NeurIPS AI for Science Workshop, 2022		2022
Extending the Davis-Kahan theorem for comparing eigenvectors of two symmetric matrices I: Theory J Lutzeyer, AT Walden arXiv preprint arXiv:1908.03462, 2019		2019
Correcting the estimator for the mean vectors in a multivariate errors-in-variables regression model J Lutzeyer, EAK Cohen arXiv preprint arXiv:1510.03600, 2015		2015

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