Evaluating Loss Functions for Graph Neural Networks: Towards Pretraining and Generalization

Khushnood Abbas, Ruizhe Hou, Zhou Wengang +4

Graph Neural Networks (GNNs) became useful for learning on non-Euclidean data. However, their best performance depends on choosing the right model architecture and the training obj…