Best GNN for a large number of small graphs

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!