摘要
Abstract
In recent years,deep learning-based methods have gradually replaced traditional approaches,becoming a research hotspot in the field of molecular property prediction.Therefore,this paper proposes a molecular property prediction method based on a deep learning framework(DLF).This method captures molecular features through the deep learning framework to enhance the effectiveness of molecular property prediction.The DLF method was evaluated on the MoleculeNet dataset,and the results demonstrated that it achieved state-of-the-art performance on most datasets,verifying its effectiveness in molecular property prediction.关键词
深度学习/分子表征/分子性质预测Key words
deep learning/molecular representation/molecular property prediction分类
信息技术与安全科学
