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Learning to Simulate Complex Physics with Graph Networks

, , , , , and . CoRR, (2020)cite arxiv:2002.09405Comment: Submitted to ICML 2020.

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GraphCast: Learning skillful medium-range global weather forecasting, , , , , , , , , and 8 other author(s). (2022)cite arxiv:2212.12794Comment: GraphCast code and trained weights are available at: https://github.com/deepmind/graphcast.Very Deep Graph Neural Networks Via Noise Regularisation., , , , , , , and . CoRR, (2021)Combining Q-Learning and Search with Amortized Value Estimates., , , , , , and . CoRR, (2019)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)Relational inductive biases, deep learning, and graph networks, , , , , , , , , and 1 other author(s). arXiv preprint arXiv:1806.01261, (2018)Discovering Symbolic Models from Deep Learning with Inductive Biases, , , , , , and . Advances in Neural Information Processing Systems, 33, page 17429--17442. Curran Associates, Inc., (2020)Constraint-based graph network simulator., , , and . ICML, volume 162 of Proceedings of Machine Learning Research, page 18844-18870. PMLR, (2022)WeatherBench 2: A benchmark for the next generation of data-driven global weather models., , , , , , , , , and 8 other author(s). CoRR, (2023)Discovering Symbolic Models from Deep Learning with Inductive Biases., , , , , , and . NeurIPS, (2020)