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Johannes Lutzeyer
Johannes Lutzeyer
Assistant Professor, École Polytechnique
Bestätigte E-Mail-Adresse bei polytechnique.edu - Startseite
Titel
Zitiert von
Zitiert von
Jahr
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
352022
Learning Parametrised Graph Shift Operators
G Dasoulas, J Lutzeyer, M Vazirgiannis
International Conference on Learning Representations (ICLR), 2021
242021
Path Neural Networks: Expressive and Accurate Graph Neural Networks
G Michel, G Nikolentzos, J Lutzeyer, M Vazirgiannis
International Conference on Machine Learning (ICML), 2023
142023
Graph Ordering Attention Networks
M Chatzianastasis, JF Lutzeyer, G Dasoulas, M Vazirgiannis
AAAI Conference on Artificial Intelligence (AAAI), 2022
142022
Comparing Spectra of Graph Shift Operator Matrices
J Lutzeyer, AT Walden
International Conference on Complex Networks and Their Applications, 191-202, 2019
11*2019
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
72021
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
52023
Sparsifying the Update Step in Graph Neural Networks
JF Lutzeyer, C Wu, M Vazirgiannis
ICLR Workshop on Geometrical and Topological Representation Learning, 2022
52022
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
32022
Network representation matrices and their eigenproperties: a comparative study
J Lutzeyer
Imperial College London, 2020
22020
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
22019
A Simple and Yet Fairly Effective Defense for Graph Neural Networks
S Ennadir, Y Abbahaddou, JF Lutzeyer, M Vazirgiannis, H Boström
AAAI Conference on Artificial Intelligence (AAAI), 2024
12024
Advancing Antibiotic Resistance Classification with Deep Learning Using Protein Sequence and Structure
A Qabel, S Ennadir, G Nikolentzos, JF Lutzeyer, M Chatzianastasis, ...
bioRxiv, 2022.10. 06.511103, 2022
12022
Graph Neural Machine: A New Model for Learning with Tabular Data
G Nikolentzos, S Wang, J Lutzeyer, M Vazirgiannis
arXiv preprint arXiv:2402.02862, 2024
2024
Graph Neural Networks on Discriminative Graphs of Words
Y Abbahaddou, J Lutzeyer, M Vazirgiannis
NeurIPS New Frontiers in Graph Learning Workshop, 2023
2023
Bounding the Expected Robustness of Graph Neural Networks Subject to Node Feature Attacks
Y ABBAHADDOU, S ENNADIR, JF Lutzeyer, M Vazirgiannis, H Boström
International Conference on Learning Representations (ICLR), 2023
2023
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
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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