Hi everyone,
I have two questions about torch geometric:
When using the Dataloader (the one of torch geometric not pytorch).
_Is it possible to load the batches on the fly?
I have a big dataset of millions entries I can’t load a list of a millions of graphs at the same time, however I can manage to load them batch/batch
_ Is it possible that the loader automatically lowers the batch size if it can’t manage it?
My graphs are not homogeneous sizewise, sometimes it will easily handle a batch of 100 and then struggle with a batch of 20. That would be great if there was an option that prevent to load a batch with too much nodes/edges and instead just lower the batchsize exceptionally.