This AI Paper from China Proposes SGGRL: A Novel Molecular Representation Learning Model based on the Multi-Modals of Molecules for Molecular Property Prediction

Molecular property prediction stands at the forefront of drug discovery and design, which has grown increasingly dependent on advancements in artificial intelligence and machine learning. Traditional methods, while foundational, often need to catch up in their scope, unable to encapsulate the vast and intricate details of molecular characteristics. This gap in capability highlights the need […]

The post This AI Paper from China Proposes SGGRL: A Novel Molecular Representation Learning Model based on the Multi-Modals of Molecules for Molecular Property …

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