Deep learning techniques such as convolutional neural networks (CNNs) have significantly impacted fields like computer vision and other Euclidean data domains. However, many domains have non-Euclidean ...

The great success of graph neural networks (GNNs) in graph-structured data tasks benefits from the powerful structure learning abilities of their architectures. For complex datasets, too deep GNNs can ...