BriefGPT.xyz
Sep, 2019
分子图生成的图残差流
Graph Residual Flow for Molecular Graph Generation
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Shion Honda, Hirotaka Akita, Katsuhiko Ishiguro, Toshiki Nakanishi, Kenta Oono
TL;DR
本文提出了一种名为图残流的强大可逆分子图形生成流方法，所得到的生成模型具有可比拟的生成性能和较少的可训练参数。
Abstract
statistical generative models
for
molecular graphs
attract attention from many researchers from the fields of bio- and chemo-informatics. Among these models,
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