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Graph network simulators can learn discontinuous, rigid contact dynamics., , , , , , and . CoRL, volume 205 of Proceedings of Machine Learning Research, page 1157-1167. PMLR, (2022)Learning rigid dynamics with face interaction graph networks., , , , , , and . ICLR, OpenReview.net, (2023)Income comparisons, income adaptation, and life satisfaction: How robust are estimates from survey data?. SOEPpapers on Multidisciplinary Panel Data Research, (2013)Turbulent fluids., , and . SIGGRAPH Courses, page 6:1. ACM, (2013)Combining Q-Learning and Search with Amortized Value Estimates., , , , , , and . CoRR, (2019)Learning Mesh-Based Simulation with Graph Networks., , , and . ICLR, OpenReview.net, (2021)Adaptive tearing and cracking of thin sheets., , , and . ACM Trans. Graph., 33 (4): 110:1-110:9 (2014)Constraint-based graph network simulator., , , and . ICML, volume 162 of Proceedings of Machine Learning Research, page 18844-18870. PMLR, (2022)Learning rigid-body simulators over implicit shapes for large-scale scenes and vision., , , , , and . CoRR, (2024)Inverse Design for Fluid-Structure Interactions using Graph Network Simulators., , , , , , and . NeurIPS, (2022)