The impact of low-cost molecular geometry optimization in property prediction via graph neural network

Gabriel A. Pinheiro, Felipe V. Calderan, Juarez L. F. Da Silva, Marcos G. Quiles. The impact of low-cost molecular geometry optimization in property prediction via graph neural network. In M. Arif Wani, Mehmed M. Kantardzic, Vasile Palade, Daniel Neagu, Longzhi Yang, Kit Yan Chan, editors, 21st IEEE International Conference on Machine Learning and Applications, ICMLA 2022, Nassau, Bahamas, December 12-14, 2022. pages 603-608, IEEE, 2022. [doi]

Abstract

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