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Graph Networks as Learnable Physics Engines for Inference and Control., , , , , , and . ICML, volume 80 of Proceedings of Machine Learning Research, page 4467-4476. PMLR, (2018)Neural General Circulation Models., , , , , , , , , and 6 other author(s). CoRR, (2023)Inverse Design for Fluid-Structure Interactions using Graph Network Simulators., , , , , , and . NeurIPS, (2022)Discovering Symbolic Models from Deep Learning with Inductive Biases., , , , , , and . NeurIPS, (2020)Simple GNN Regularisation for 3D Molecular Property Prediction and Beyond., , , , , , , and . ICLR, OpenReview.net, (2022)Combining Q-Learning and Search with Amortized Value Estimates., , , , , , and . CoRR, (2019)Very Deep Graph Neural Networks Via Noise Regularisation., , , , , , , and . CoRR, (2021)GraphCast: Learning skillful medium-range global weather forecasting., , , , , , , , , and 8 other author(s). CoRR, (2022)ETA Prediction with Graph Neural Networks in Google Maps., , , , , , , , , and 7 other author(s). CIKM, page 3767-3776. ACM, (2021)Learning Mesh-Based Simulation with Graph Networks., , , and . ICLR, OpenReview.net, (2021)