Before revision:  We deepen the analysis by comparing our model with traditional graph neural networks  with ReLU activations in terms of the number of linear regions of the functions they can represent.
After revision:  We deepen the analysis by comparing our model with traditional graph neural networks (GNNs) with ReLU activations in terms of the number of linear regions of the functions they can represent.