In my use case, for each example of my dataset, I have ~200 graphs associated with it. Therefore, in my dataset reader
__getitem__, I call
dgl.load_graphs to load the stored information for each example. However, each call takes about ~0.3s (with peaks of 1.23s) which is quite a lot if I want to use a big batch size. Any suggestions about how to handle this use case?