Fragkiskos D. Malliaros

Scaling Higher-Order Graph Learning with Maximal Clique Complexes

Centrality Graph Shift Operators for Graph Neural Networks

When Do Distant Dependencies Matter? Diagnostics for Long-Range Propagation in GNNs

Continuous Simplicial Neural Networks

Graph Neural Network Generalization With Gaussian Mixture Model Based Augmentation

Gaussian Mixture Models Based Augmentation Enhances GNN Generalization

Cometh: A continuous-time discrete-state graph diffusion model

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

ADMP-GNN: Adaptive Depth Message Passing GNN

Centrality Graph Shift Operators for Graph Neural Networks