most citedAuxiliary Discrminator Sequence Generative Adversarial Networks (ADSeqGAN) for Few Sample Molecule Generation

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cs.LG2026

Learning Mechanistic Reasoning for Chemical Reactions with Large Language Models

Xingyu Dang, Haocheng Tang, Junmei Wang +1

Reaction mechanisms consist of the step-by-step sequences of elementary reactions that explain chemical transformations. Learning the mechanism logic is therefore essential for enh…

cs.LG2025★ 1 cited

Auxiliary Discrminator Sequence Generative Adversarial Networks (ADSeqGAN) for Few Sample Molecule Generation

Haocheng Tang, Jing Long, Beihong Ji +1

In this work, we introduce Auxiliary Discriminator Sequence Generative Adversarial Networks (ADSeqGAN), a novel approach for molecular generation in small-sample datasets. Traditio…