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Johannes F. Lutzeyer
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2020 – today
- 2025
- [i19]George Panagopoulos, Johannes F. Lutzeyer, Sofiane Ennadir, Michalis Vazirgiannis, Jun Pang:
Efficient Data Selection for Training Genomic Perturbation Models. CoRR abs/2503.14571 (2025) - 2024
- [c10]Sofiane Ennadir, Yassine Abbahaddou, Johannes F. Lutzeyer, Michalis Vazirgiannis, Henrik Boström:
A Simple and Yet Fairly Effective Defense for Graph Neural Networks. AAAI 2024: 21063-21071 - [c9]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 - [c8]Sofiane Ennadir, Johannes F. Lutzeyer, Michalis Vazirgiannis, El Houcine Bergou:
If You Want to Be Robust, Be Wary of Initialization. NeurIPS 2024 - [i18]Giannis Nikolentzos
, Siyun Wang, Johannes F. Lutzeyer, Michalis Vazirgiannis:
Graph Neural Machine: A New Model for Learning with Tabular Data. CoRR abs/2402.02862 (2024) - [i17]Sofiane Ennadir, Yassine Abbahaddou, Johannes F. Lutzeyer, Michalis Vazirgiannis, Henrik Boström:
A Simple and Yet Fairly Effective Defense for Graph Neural Networks. CoRR abs/2402.13987 (2024) - [i16]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 abs/2404.17947 (2024) - [i15]Joshua Southern, Francesco Di Giovanni, Michael M. Bronstein, Johannes F. Lutzeyer:
Understanding Virtual Nodes: Oversmoothing, Oversquashing, and Node Heterogeneity. CoRR abs/2405.13526 (2024) - [i14]Benjamin Doerr, Johannes F. Lutzeyer:
Hyper-Heuristics Can Profit From Global Variation Operators. CoRR abs/2407.14237 (2024) - [i13]Yassine Abbahaddou, Johannes F. Lutzeyer, Michalis Vazirgiannis:
Graph Neural Networks on Discriminative Graphs of Words. CoRR abs/2410.20469 (2024) - [i12]Yassine Abbahaddou, Fragkiskos D. Malliaros, Johannes F. Lutzeyer, Michalis Vazirgiannis:
Centrality Graph Shift Operators for Graph Neural Networks. CoRR abs/2411.04655 (2024) - [i11]Yassine Abbahaddou, Sofiane Ennadir, Johannes F. Lutzeyer, Fragkiskos D. Malliaros, Michalis Vazirgiannis:
Post-Hoc Robustness Enhancement in Graph Neural Networks with Conditional Random Fields. CoRR abs/2411.05399 (2024) - [i10]Yassine Abbahaddou, Fragkiskos D. Malliaros, Johannes F. Lutzeyer, Amine Mohamed Aboussalah, Michalis Vazirgiannis:
Gaussian Mixture Models Based Augmentation Enhances GNN Generalization. CoRR abs/2411.08638 (2024) - 2023
- [c7]Michail Chatzianastasis, Johannes F. Lutzeyer
Graph Ordering Attention Networks. AAAI 2023: 7006-7014 - [c6]Benjamin Doerr
How the Move Acceptance Hyper-Heuristic Copes With Local Optima: Drastic Differences Between Jumps and Cliffs. GECCO 2023: 990-999 - [c5]Gaspard Michel, Giannis Nikolentzos, Johannes F. Lutzeyer, Michalis Vazirgiannis:
Path Neural Networks: Expressive and Accurate Graph Neural Networks. ICML 2023: 24737-24755 - [i9]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 abs/2304.10414 (2023) - [i8]Gaspard Michel, Giannis Nikolentzos, Johannes F. Lutzeyer, Michalis Vazirgiannis:
Path Neural Networks: Expressive and Accurate Graph Neural Networks. CoRR abs/2306.05955 (2023) - 2022
- [j1]Guillaume Salha-Galvan
Modularity-aware graph autoencoders for joint community detection and link prediction. Neural Networks 153: 474-495 (2022) - [c4]Mohamed El Amine Seddik, Changmin Wu, Johannes F. Lutzeyer, Michalis Vazirgiannis:
Node Feature Kernels Increase Graph Convolutional Network Robustness. AISTATS 2022: 6225-6241 - [c3]Johannes F. Lutzeyer, Changmin Wu, Michalis Vazirgiannis:
Sparsifying the Update Step in Graph Neural Networks. TAG-ML 2022: 258-268 - [i7]Guillaume Salha-Galvan, Johannes F. Lutzeyer, George Dasoulas, Romain Hennequin, Michalis Vazirgiannis:
Modularity-Aware Graph Autoencoders for Joint Community Detection and Link Prediction. CoRR abs/2202.00961 (2022) - [i6]Michail Chatzianastasis
Graph Ordering Attention Networks. CoRR abs/2204.05351 (2022) - [i5]Ariel R. Ramos Vela, Johannes F. Lutzeyer, Anastasios Giovanidis, Michalis Vazirgiannis:
Improving Graph Neural Networks at Scale: Combining Approximate PageRank and CoreRank. CoRR abs/2211.04248 (2022) - [i4]Guillaume Salha-Galvan, Johannes F. Lutzeyer, George Dasoulas, Romain Hennequin, Michalis Vazirgiannis:
New Frontiers in Graph Autoencoders: Joint Community Detection and Link Prediction. CoRR abs/2211.08972 (2022) - 2021
- [c2]George Dasoulas
Learning Parametrised Graph Shift Operators. ICLR 2021 - [i3]George Dasoulas, Johannes F. Lutzeyer
Learning Parametrised Graph Shift Operators. CoRR abs/2101.10050 (2021) - [i2]Johannes F. Lutzeyer
Sparsifying the Update Step in Graph Neural Networks. CoRR abs/2109.00909 (2021) - [i1]Mohamed El Amine Seddik, Changmin Wu, Johannes F. Lutzeyer
Node Feature Kernels Increase Graph Convolutional Network Robustness. CoRR abs/2109.01785 (2021)
2010 – 2019
- 2019
- [c1]Johannes F. Lutzeyer
Comparing Spectra of Graph Shift Operator Matrices. COMPLEX NETWORKS (2) 2019: 191-202
Coauthor Index
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