GNN

Graph Neural Networks provide a principled framework for modeling complex systems by capturing emergent behaviors and non-linear interactions through learnable message-passing dynamics that propagate information across networked structures, enabling the understanding of how local interactions give rise to global system properties in domains ranging from protein folding and social networks to supply chains and brain connectivity.