Graph Polish: A Novel Graph Generation Paradigm for Molecular Optimization

@article{Ji2020GraphPA,
  title={Graph Polish: A Novel Graph Generation Paradigm for Molecular Optimization},
  author={Chaojie Ji and Yijia Zheng and Ruxin Wang and Yunpeng Cai and Hongyan Wu},
  journal={IEEE transactions on neural networks and learning systems},
  year={2020},
  volume={PP}
}
Molecular optimization, which transforms a given input molecule X into another Y with desired properties, is essential in molecular drug discovery. The traditional approaches either suffer from sample-inefficient learning or ignore information that can be captured with the supervised learning of optimized molecule pairs. In this study, we present a novel molecular optimization paradigm, Graph Polish. In this paradigm, with the guidance of the source and target molecule pairs of the desired… 
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