There is a growing interest in the joint application of graph signal processing and neural networks (NNs) for learning problems involving complex, non-linear and/or non-Euclidean …
Graph neural networks (GNNs) have been successfully employed in a myriad of applications involving graph signals. Theoretical findings establish that GNNs use nonlinear activation …
The size of the orbits or similar vertices of a network provides important information regarding each individual component of the network. In this paper, we investigate the …
The size of the orbits or similar vertices of a network provides important information regarding each individual component of the network. In this paper, we investigate the …