Machine Learning, Lattice Structures, Graph Neural Networks, Architecture, Geometry.
attention to lattices that might, on some advanced hardware, be 3D-printable (e.g. low edge counts and low node valence). Simple schematic of the GNN used to predict lattice compression. Given that the lattices we are interested in are 3-dimensional, we considered a number of learning approaches