Comparing Spectra of Graph Shift Operator Matrices. - Johannes F. Lutzeyer; Andrew T. Walden (COMPLEX NETWORKS (2), 2019)

Learning Parametrised Graph Shift Operators. - George Dasoulas; Johannes F. Lutzeyer; Michalis Vazirgiannis (ICLR, 2021)

Node Feature Kernels Increase Graph Convolutional Network Robustness. - Mohamed El Amine Seddik; Changmin Wu; Johannes F. Lutzeyer; Michalis Vazirgiannis (AISTATS, 2022)

Sparsifying the Update Step in Graph Neural Networks. - Johannes F. Lutzeyer; Changmin Wu; Michalis Vazirgiannis (TAG-ML, 2022)

Improving Graph Neural Networks at Scale: Combining Approximate PageRank and CoreRank. - Ariel R. Ramos Vela; Johannes F. Lutzeyer; Anastasios Giovanidis; Michalis Vazirgiannis (CoRR, 2022)

New Frontiers in Graph Autoencoders: Joint Community Detection and Link Prediction. - Guillaume Salha-Galvan; Johannes F. Lutzeyer; George Dasoulas; Romain Hennequin; Michalis Vazirgiannis (CoRR, 2022)

Modularity-aware graph autoencoders for joint community detection and link prediction. - Guillaume Salha-Galvan; Johannes F. Lutzeyer; George Dasoulas; Romain Hennequin; Michalis Vazirgiannis (Neural Networks, 2022)

Graph Ordering Attention Networks. - Michail Chatzianastasis; Johannes F. Lutzeyer; George Dasoulas; Michalis Vazirgiannis (AAAI, 2023)

How the Move Acceptance Hyper-Heuristic Copes With Local Optima: Drastic Differences Between Jumps and Cliffs. - Benjamin Doerr; Arthur Dremaux; Johannes F. Lutzeyer; Aurélien Stumpf (GECCO, 2023)

Path Neural Networks: Expressive and Accurate Graph Neural Networks. - Gaspard Michel; Giannis Nikolentzos; Johannes F. Lutzeyer; Michalis Vazirgiannis (ICML, 2023)

A Simple and Yet Fairly Effective Defense for Graph Neural Networks. - Sofiane Ennadir; Yassine Abbahaddou; Johannes F. Lutzeyer; Michalis Vazirgiannis; Henrik Boström (AAAI, 2024)

Bounding the Expected Robustness of Graph Neural Networks Subject to Node Feature Attacks. - Yassine Abbahaddou; Sofiane Ennadir; Johannes F. Lutzeyer; Michalis Vazirgiannis; Henrik Boström (ICLR, 2024)

If You Want to Be Robust, Be Wary of Initialization. - Sofiane Ennadir; Johannes F. Lutzeyer; Michalis Vazirgiannis; El Houcine Bergou (NeurIPS, 2024)

Graph Neural Machine: A New Model for Learning with Tabular Data. - Giannis Nikolentzos; Siyun Wang; Johannes F. Lutzeyer; Michalis Vazirgiannis (CoRR, 2024)

Understanding Virtual Nodes: Oversmoothing, Oversquashing, and Node Heterogeneity. - Joshua Southern; Francesco Di Giovanni; Michael M. Bronstein; Johannes F. Lutzeyer (CoRR, 2024)

Hyper-Heuristics Can Profit From Global Variation Operators. - Benjamin Doerr; Johannes F. Lutzeyer (CoRR, 2024)

Graph Neural Networks on Discriminative Graphs of Words. - Yassine Abbahaddou; Johannes F. Lutzeyer; Michalis Vazirgiannis (CoRR, 2024)

Centrality Graph Shift Operators for Graph Neural Networks. - Yassine Abbahaddou; Fragkiskos D. Malliaros; Johannes F. Lutzeyer; Michalis Vazirgiannis (CoRR, 2024)

Post-Hoc Robustness Enhancement in Graph Neural Networks with Conditional Random Fields. - Yassine Abbahaddou; Sofiane Ennadir; Johannes F. Lutzeyer; Fragkiskos D. Malliaros; Michalis Vazirgiannis (CoRR, 2024)

Gaussian Mixture Models Based Augmentation Enhances GNN Generalization. - Yassine Abbahaddou; Fragkiskos D. Malliaros; Johannes F. Lutzeyer; Amine Mohamed Aboussalah; Michalis Vazirgiannis (CoRR, 2024)

Understanding Virtual Nodes: Oversquashing and Node Heterogeneity. - Joshua Southern; Francesco Di Giovanni; Michael M. Bronstein; Johannes F. Lutzeyer (ICLR, 2025)

Efficient Data Selection for Training Genomic Perturbation Models. - George Panagopoulos; Johannes F. Lutzeyer; Sofiane Ennadir; Michalis Vazirgiannis; Jun Pang 001 (CoRR, 2025)

Graph Representational Learning: When Does More Expressivity Hurt Generalization? - Sohir Maskey; Raffaele Paolino; Fabian Jogl; Gitta Kutyniok; Johannes F. Lutzeyer (CoRR, 2025)

Speeding Up Hyper-Heuristics With Markov-Chain Operator Selection and the Only-Worsening Acceptance Operator. - Abderrahim Bendahi; Benjamin Doerr; Adrien Fradin; Johannes F. Lutzeyer (CoRR, 2025)

HIEGNet: A Heterogenous Graph Neural Network Including the Immune Environment in Glomeruli Classification. - Niklas Kormann; Masoud Ramuz; Zeeshan Nisar; Nadine S. Schaadt; Hendrik Annuth; Benjamin Doerr; Friedrich Feuerhake; Thomas Andrew Lampert; Johannes F. Lutzeyer (CoRR, 2025)