Self-awareness of retrosynthesis via chemically inspired contrastive learning for reinforced molecule generation
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The recent progress of deep generative models in modeling complex real-world data distributions has enabled the generation of novel compounds with potential therapeutic applications for various diseases. However, most studies fail to optimize the properties of... ...
