Transductive tasks on graphs differ fundamentally from typical supervised machine learning
tasks, as the independent and identically distributed (iid) assumption does not hold among …

We show that feature normalization has a drastic impact on the performance of optimization
algorithms in the context of graph neural networks. The standard normalization scheme …