Hi!
I’m working on an edge classification task, Ive already seen the documentation example, but im still not sure, what is the correct way to split a dataset that consists of a single graph for edge classification? I want to use neighbor sampling during training. How can I split the graph to separate the edges into training, validation, and test sets while applying neighbor sampling specifically during training?