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Permutation invariant networks to learn Wasserstein metrics., , and . CoRR, (2020)Deep representation learning identifies associations between physical activity and sleep patterns during pregnancy and prematurity, , , , , , , , , and 1 other author(s). npj Digital Medicine, 6 (1): 171 (2023)Cross-species comparative analysis of single presynapses, , , , , , , , , and 1 other author(s). Scientific Reports, 13 (1): 13849 (2023)Self-supervised edge features for improved Graph Neural Network training., , and . CoRR, (2020)Deep representation learning identifies associations between physical activity and sleep patterns during pregnancy and prematurity., , , , , , , , , and 11 other author(s). npj Digit. Medicine, (2023)Gaining Insight into SARS-CoV-2 Infection and COVID-19 Severity Using Self-supervised Edge Features and Graph Neural Networks., , and . AAAI, page 4864-4873. AAAI Press, (2021)Whole genome deconvolution unveils Alzheimer’s resilient epigenetic signature, , , , , , , , , and 9 other author(s). Nature Communications, 14 (1): 4947 (2023)Disease state prediction from single-cell data using graph attention networks., , , , and . CHIL, page 121-130. ACM, (2020)Data-driven longitudinal characterization of neonatal health and morbidity, , , , , , , , , and 23 other author(s). Science Translational Medicine, 15 (683): eadc9854 (2023)Profiling functional disruption in biological systems, , , , , , , , , and 10 other author(s). Under review, (2022)