I’ve been reading on GNNs and checking out Pytorch Geometric. Most examples seems to focus on training very large graphs. For an application I’m interested in, I want to train a large number of relatively small (less than 20 nodes) graphs. Has anyone any suggestions, tips, best practices? Thanks!