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Open Graph Benchmark: Datasets for Machine Learning on Graphs

, , , , , , , and . (2020)cite arxiv:2005.00687Comment: Fix dataset bug in ogbg-code.

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GNN Explainer: A Tool for Post-hoc Explanation of Graph Neural Networks., , , , and . CoRR, (2019)Graph representation learning in biomedicine and healthcare, , and . Nature Biomedical Engineering, (2022)Contrastive learning improves critical event prediction in COVID-19 patients., , , , , , , , , and 8 other author(s). Patterns, 2 (12): 100389 (2021)Team ULjubljana's Solution to the JRS 2012 Data Mining Competition., , , , , and . RSCTC, volume 7413 of Lecture Notes in Computer Science, page 471-478. Springer, (2012)Graph Based Machine Learning for Healthcare: State of the Art, Challenges, and Opportunities., , , and . AMIA, AMIA, (2021)Large-scale analysis of disease pathways in the human interactome., , and . PSB, page 111-122. (2018)Matrix Factorization-Based Data Fusion for Gene Function Prediction in Baker's Yeast and Slime Mold., and . Pacific Symposium on Biocomputing, page 400-411. (2014)Interpretability of machine learning-based prediction models in healthcare., , , , , and . WIREs Data Mining Knowl. Discov., (2020)Network Medicine Framework for Identifying Drug Repurposing Opportunities for COVID-19., , , , , , , , , and 1 other author(s). CoRR, (2020)Graph AI in Medicine., , , , and . CoRR, (2023)