Can the code for inductive learning on the PPI dataset be added to the PyTorch implementation?

[Sowmya-R-Krishnan]

I'm following the PyTorch version of the GraphSage code and looks like the implementation is for a transductive setting (Cora and PubMed datasets). It would be really helpful if the implementation of the PPI dataset (inductive setting - graph level learning) can be added to the PyTorch implementation. In that way, one can train on a bunch of graphs and then test on a completely new set of graphs of different dimensions just like the PPI dataset.