Graph Neural Networks (GNNs) have become a central tool for learning from network-structured data, excelling in tasks such as node classification, link prediction and representation learning. In ...

Complex networks are common in real world and can be used to represent complex systems in many fields. More and more complex networks come with attributes in nodes and are named as attributed networks ...