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Wilds: A benchmark of in-the-wild distribution shifts, , , , , , , , , и 1 other автор(ы). International Conference on Machine Learning, стр. 5637--5664. PMLR, (2021)How powerful are graph neural networks?, , , и . arXiv preprint arXiv:1810.00826, (2018)Learning Discrete Representations via Information Maximizing Self-Augmented Training., , , , и . ICML, том 70 из Proceedings of Machine Learning Research, стр. 1558-1567. PMLR, (2017)Pre-training Graph Neural Networks., , , , , , и . CoRR, (2019)Strategies for Pre-training Graph Neural Networks, , , , , , и . (2019)cite arxiv:1905.12265Comment: Accepted as a spotlight to ICLR 2020.Worst-case Redundancy of Optimal Binary AIFV Codes and their Extended Codes., , и . CoRR, (2016)GraphCast: Learning skillful medium-range global weather forecasting., , , , , , , , , и 8 other автор(ы). CoRR, (2022)The Open Catalyst 2020 (OC20) Dataset and Community Challenges., , , , , , , , , и 7 other автор(ы). CoRR, (2020)ForceNet: A Graph Neural Network for Large-Scale Quantum Calculations., , , , , , , и . CoRR, (2021)A Framework for Big Data Security Analysis and the Semantic Technology., , , , , и . ICITCS, стр. 1-4. IEEE Computer Society, (2016)