Graph neural networks for molecular property prediction

Tag: Graph neural networks for molecular property prediction

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Information technology
July 10, 2024

Graph Neural Networks for Molecular Property Prediction – Complete Phd and Masters Thesis

[ad_1] Introduction Molecular property prediction is a crucial task in drug discovery, material science, and other domains of chemistry. Traditional machine learning models often struggle to capture the complex relationships between atoms and their properties…

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Information technology
June 4, 2024

Graph neural networks for molecular property prediction – Complete Phd and Masters Thesis

[ad_1] Introduction: Graph neural networks (GNNs) have emerged as a powerful tool in the field of machine learning for various applications, including molecular property prediction. The ability of GNNs to learn from the graph structure…

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