HIGHLIGHTS
- who: DE GRUYTER and collaborators from the School of Informatics, University of Skövde, Skövde, Sweden have published the Article: DeepConvolutional NeuralNetworks for the Prediction ofMolecular Properties: Challenges andOpportunities Connected to the Data, in the Journal: (JOURNAL)
- what: The authors show that this method significantly outperforms another recently proposed method based on deep convolutional neural networks on several datasets that are studied. To show that this cannot be overlooked the authors develop a flexible model where both global and local information easily can be incorporated or removed. Using this model, the authors explore how . . .
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