Over the last few years, the availability of an increasing data generated from non-Euclidean domains, which are usually represented as graphs with complex relationships, and Graph Neural Networks (GNN) have gained a high interest because of their ...

• The Convolutional Graph Neural Network parameters are set by another neural network.
• Filters are input-specific and dynamically generated exploiting the features of the graph nodes.
• The convolution is performed on each graph node ...