Graphs with self-loops enable to represent a large variety of interactions in natural and artificial systems, allowing not only inter-connectivity among heterogeneous entities but also the ...

Graph Neural Networks (GNNs) are popular for learning node representations in complex graph structures. Traditional methods use Euclidean space but struggle to capture hierarchical structures in ...