Preprint
Jul 2026
Point Group Equivariant Graph Neural Networks for Materials
This work introduces point-group symmetry aware equivariant graph neural networks (PGEqNN) for materials science, with filter functions aligned with symmetry-aware indices for greater granularity in predictive tasks.
Alex Heilman, Qimin Yan
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