Graph signals are signals with an irregular structure that can be described by a graph. Graph neural networks (GNNs) are information processing architectures tailored to these graph signals and made ...

Graph Neural Networks (GNNs) have gained increasing popularity in learning node embeddings for graph inference tasks, but their training raises significant privacy concerns. Recent differential ...