A Deep Generative Model for Fragment-Based Molecule Generation
AISTATS, pp. 2240-2250, 2020.
Molecule generation is a challenging open problem in cheminformatics. Currently, deep generative approaches addressing the challenge belong to two broad categories, differing in how molecules are represented. One approach encodes molecular graphs as strings of text, and learns their corresponding character-based language model. Another,...更多
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