GeometricFlux: GCNConv but with different graphs

I’m working with GeometricFlux and want to adapt the GCNConv layer to allow for different adjacency matrices corresponding to each piece of training data. Since this now requires two separate “streams” of input data (the adjacency matrices and the set of node features corresponding to each graph), I’m wondering about any best practices for dealing with this type of input. Most of the Flux examples I’ve seen have just one vector (or matrix) as the input. Anything particular I should be keeping in mind?