Robustness questions the interpretability of graph neural networks: what to do?

Kirill Lukyanov, Georgii Sazonov, Serafim Boyarsky +1

Graph Neural Networks (GNNs) have become a cornerstone in graph-based data analysis, with applications in diverse domains such as bioinformatics, social networks, and recommendatio…