Abstract: Molecular property prediction has received great attention due to its wide application in biomedical field. Effective molecular representation learning is of substantial significance to ...

These are treated in the next step as training data for a convolutional neural network and can be successfully used to predict the properties of chemical ... (17) They used the SMILES representation ...

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and can be considered as the Cohen's class's closed-form representation in linear canonical domains. A fundamental theory about the CICFCC's essential properties, such as marginal distribution, energy ...