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Contrastive learning improves critical event prediction in COVID-19 patients.

, , , , , , , , , , , , , , , , , и . Patterns, 2 (12): 100389 (2021)

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Walter Zitnik

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Marinka Margitic-Vlahovic

 

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GNN Explainer: A Tool for Post-hoc Explanation of Graph Neural Networks., , , , и . CoRR, (2019)Graph representation learning in biomedicine and healthcare, , и . Nature Biomedical Engineering, (2022)Team ULjubljana's Solution to the JRS 2012 Data Mining Competition., , , , , и . RSCTC, том 7413 из Lecture Notes in Computer Science, стр. 471-478. Springer, (2012)Contrastive learning improves critical event prediction in COVID-19 patients., , , , , , , , , и 8 other автор(ы). Patterns, 2 (12): 100389 (2021)Graph Based Machine Learning for Healthcare: State of the Art, Challenges, and Opportunities., , , и . AMIA, AMIA, (2021)Interpretability of machine learning-based prediction models in healthcare., , , , , и . WIREs Data Mining Knowl. Discov., (2020)Matrix Factorization-Based Data Fusion for Gene Function Prediction in Baker's Yeast and Slime Mold., и . Pacific Symposium on Biocomputing, стр. 400-411. (2014)Large-scale analysis of disease pathways in the human interactome., , и . PSB, стр. 111-122. (2018)Network Medicine Framework for Identifying Drug Repurposing Opportunities for COVID-19., , , , , , , , , и 1 other автор(ы). CoRR, (2020)Geometric multimodal representation learning., , , , и . CoRR, (2022)