Johannes F. Lutzeyer

Graph Representational Learning: When Does More Expressivity Hurt Generalization?

Centrality Graph Shift Operators for Graph Neural Networks

SHAKE-GNN: Scalable Hierarchical Kirchhoff-Forest Graph Neural Network

Enhancing Graph Classification Robustness with Singular Pooling

Graph Neural Network Generalization With Gaussian Mixture Model Based Augmentation

Understanding Virtual Nodes: Oversquashing and Node Heterogeneity

Gaussian Mixture Models Based Augmentation Enhances GNN Generalization

Post-Hoc Robustness Enhancement in Graph Neural Networks with Conditional Random Fields

Adversarially Robust Graph Classification: A Pooling-Based Defense Framework

ADMP-GNN: Adaptive Depth Message Passing GNN

Centrality Graph Shift Operators for Graph Neural Networks