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GemNet-OC: Developing Graph Neural Networks for Large and Diverse Molecular Simulation Datasets., , , , , , and . Trans. Mach. Learn. Res., (2022)The Open Catalyst 2020 (OC20) Dataset and Community Challenges., , , , , , , , , and 7 other author(s). CoRR, (2020)Rotation Invariant Graph Neural Networks using Spin Convolutions., , , , , , and . CoRR, (2021)Spherical Channels for Modeling Atomic Interactions., , , , , , , and . NeurIPS, (2022)The Open Catalyst 2022 (OC22) Dataset and Challenges for Oxide Electrocatalysis., , , , , , , , , and 3 other author(s). CoRR, (2022)How Do Graph Networks Generalize to Large and Diverse Molecular Systems?, , , , , , and . CoRR, (2022)FINETUNA: fine-tuning accelerated molecular simulations., , , and . Mach. Learn. Sci. Technol., 3 (3): 3 (September 2022)The Open DAC 2023 Dataset and Challenges for Sorbent Discovery in Direct Air Capture., , , , , , , , and . CoRR, (2023)Robust and scalable uncertainty estimation with conformal prediction for machine-learned interatomic potentials., , , and . Mach. Learn. Sci. Technol., 3 (4): 45028 (December 2022)Applying Large Graph Neural Networks to Predict Transition Metal Complex Energies Using the tmQM_wB97MV Data Set., , , , , and . J. Chem. Inf. Model., 63 (24): 7642-7654 (December 2023)