Equivariant hierarchical graph-of-graphs replacement for current crystal graph model.

[InfluenceFunctional]

1. Embed asymmetric unit molecule to single node in an equivariant fashion. (optionally in-future via pretrained encoder)

2. Generate crystal graph either by explicit symmetry patterning or some other clever means.

3. Evaluate a second invariant GNN on the molecule-wise graph, to produce outputs.

Should be trainable and if it converges hopefully will be significantly faster than current methods, and open opportunities for new kinds of crystal embeddings.