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Finding Symmetry Breaking Order Parameters with Euclidean Neural Networks., , and . CoRR, (2020)EquiformerV2: Improved Equivariant Transformer for Scaling to Higher-Degree Representations., , , and . CoRR, (2023)Sign and Basis Invariant Networks for Spectral Graph Representation Learning., , , , , , and . CoRR, (2022)Graph Partitioning and Sparse Matrix Ordering using Reinforcement Learning and Graph Neural Networks., , , , and . J. Mach. Learn. Res., (2022)Relevance of Rotationally Equivariant Convolutions for Predicting Molecular Properties., , , and . CoRR, (2020)SE(3)-equivariant prediction of molecular wavefunctions and electronic densities., , , , , and . NeurIPS, page 14434-14447. (2021)Generative Coarse-Graining of Molecular Conformations., , , , , , , and . ICML, volume 162 of Proceedings of Machine Learning Research, page 23213-23236. PMLR, (2022)Equiformer: Equivariant Graph Attention Transformer for 3D Atomistic Graphs., and . CoRR, (2022)Tensor Field Networks: Rotation- and Translation-Equivariant Neural Networks for 3D Point Clouds., , , , , , and . CoRR, (2018)e3nn: Euclidean Neural Networks., and . CoRR, (2022)