Johannes F. Lutzeyer

Publication Activity (10 Years)

Years Active: 2019-2024
Publications (10 Years): 24

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Publications

Sofiane Ennadir, Yassine Abbahaddou, Johannes F. Lutzeyer, Michalis Vazirgiannis, Henrik Boström
A Simple and Yet Fairly Effective Defense for Graph Neural Networks. AAAI (2024)
Sofiane Ennadir, Yassine Abbahaddou, Johannes F. Lutzeyer, Michalis Vazirgiannis, Henrik Boström
A Simple and Yet Fairly Effective Defense for Graph Neural Networks. CoRR (2024)
Benjamin Doerr, Johannes F. Lutzeyer
Hyper-Heuristics Can Profit From Global Variation Operators. CoRR (2024)
Yassine Abbahaddou, Sofiane Ennadir, Johannes F. Lutzeyer, Michalis Vazirgiannis, Henrik Boström
Bounding the Expected Robustness of Graph Neural Networks Subject to Node Feature Attacks. ICLR (2024)
Yassine Abbahaddou, Sofiane Ennadir, Johannes F. Lutzeyer, Michalis Vazirgiannis, Henrik Boström
Bounding the Expected Robustness of Graph Neural Networks Subject to Node Feature Attacks. CoRR (2024)
Giannis Nikolentzos, Siyun Wang, Johannes F. Lutzeyer, Michalis Vazirgiannis
Graph Neural Machine: A New Model for Learning with Tabular Data. CoRR (2024)
Joshua Southern, Francesco Di Giovanni, Michael M. Bronstein, Johannes F. Lutzeyer
Understanding Virtual Nodes: Oversmoothing, Oversquashing, and Node Heterogeneity. CoRR (2024)
Michail Chatzianastasis, Johannes F. Lutzeyer, George Dasoulas, Michalis Vazirgiannis
Graph Ordering Attention Networks. AAAI (2023)
Gaspard Michel, Giannis Nikolentzos, Johannes F. Lutzeyer, Michalis Vazirgiannis
Path Neural Networks: Expressive and Accurate Graph Neural Networks. ICML (2023)
Benjamin Doerr, Arthur Dremaux, Johannes F. Lutzeyer, Aurélien Stumpf
How the Move Acceptance Hyper-Heuristic Copes With Local Optima: Drastic Differences Between Jumps and Cliffs. GECCO (2023)
Gaspard Michel, Giannis Nikolentzos, Johannes F. Lutzeyer, Michalis Vazirgiannis
Path Neural Networks: Expressive and Accurate Graph Neural Networks. CoRR (2023)
Benjamin Doerr, Arthur Dremaux, Johannes F. Lutzeyer, Aurélien Stumpf
How the Move Acceptance Hyper-Heuristic Copes With Local Optima: Drastic Differences Between Jumps and Cliffs. CoRR (2023)
Guillaume Salha-Galvan, Johannes F. Lutzeyer, George Dasoulas, Romain Hennequin, Michalis Vazirgiannis
Modularity-aware graph autoencoders for joint community detection and link prediction. Neural Networks 153 (2022)
Guillaume Salha-Galvan, Johannes F. Lutzeyer, George Dasoulas, Romain Hennequin, Michalis Vazirgiannis
New Frontiers in Graph Autoencoders: Joint Community Detection and Link Prediction. CoRR (2022)
Ariel R. Ramos Vela, Johannes F. Lutzeyer, Anastasios Giovanidis, Michalis Vazirgiannis
Improving Graph Neural Networks at Scale: Combining Approximate PageRank and CoreRank. CoRR (2022)
Michail Chatzianastasis, Johannes F. Lutzeyer, George Dasoulas, Michalis Vazirgiannis
Graph Ordering Attention Networks. CoRR (2022)
Mohamed El Amine Seddik, Changmin Wu, Johannes F. Lutzeyer, Michalis Vazirgiannis
Node Feature Kernels Increase Graph Convolutional Network Robustness. AISTATS (2022)
Guillaume Salha-Galvan, Johannes F. Lutzeyer, George Dasoulas, Romain Hennequin, Michalis Vazirgiannis
Modularity-Aware Graph Autoencoders for Joint Community Detection and Link Prediction. CoRR (2022)
Johannes F. Lutzeyer, Changmin Wu, Michalis Vazirgiannis
Sparsifying the Update Step in Graph Neural Networks. TAG-ML (2022)
Johannes F. Lutzeyer, Changmin Wu, Michalis Vazirgiannis
Sparsifying the Update Step in Graph Neural Networks. CoRR (2021)
George Dasoulas, Johannes F. Lutzeyer, Michalis Vazirgiannis
Learning Parametrised Graph Shift Operators. ICLR (2021)
George Dasoulas, Johannes F. Lutzeyer, Michalis Vazirgiannis
Learning Parametrised Graph Shift Operators. CoRR (2021)
Mohamed El Amine Seddik, Changmin Wu, Johannes F. Lutzeyer, Michalis Vazirgiannis
Node Feature Kernels Increase Graph Convolutional Network Robustness. CoRR (2021)
Johannes F. Lutzeyer, Andrew T. Walden
Comparing Spectra of Graph Shift Operator Matrices. COMPLEX NETWORKS (2) (2019)