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Graph Generative Adversarial Networks for Sparse Data Generation in High Energy Physics., , , , , , , and . CoRR, (2020)FAIR for AI: An interdisciplinary, international, inclusive, and diverse community building perspective., , , , , , , , , and 14 other author(s). CoRR, (2022)On the Evaluation of Generative Models in High Energy Physics., , , , , , and . CoRR, (2022)Applications and Techniques for Fast Machine Learning in Science., , , , , , , , , and 37 other author(s). Frontiers Big Data, (2022)Distance-Weighted Graph Neural Networks on FPGAs for Real-Time Particle Reconstruction in High Energy Physics., , , , , , , , , and 12 other author(s). Frontiers Big Data, (2020)Graph Neural Networks in Particle Physics: Implementations, Innovations, and Challenges., , , , , , , , , and . CoRR, (2022)Explaining machine-learned particle-flow reconstruction., , , , , , and . CoRR, (2021)Do graph neural networks learn traditional jet substructure?, , and . CoRR, (2022)Physics Community Needs, Tools, and Resources for Machine Learning., , , , , , , , , and 11 other author(s). CoRR, (2022)Snowmass 2021 Computational Frontier CompF4 Topical Group Report Storage and Processing Resource Access., , , , , , , , , and 10 other author(s). Comput. Softw. Big Sci., 7 (1): 5 (December 2023)