Our GraphVAMPnets provides an efficient way to find CVs for self-assembly. Graph embeddings ensure structures invariant to permutations and rotations, and the VAMP theory (no detailed-balance requirement) handles insufficient sampling of dissociation transitions. This article is part of JCP’s special Issue on “Machine Learning Hits Molecular Simulations”!