Prediction and Interpretable Visualization of Retrosynthetic Reactions Using Graph Convolutional Networks-Reference-Cited by-同舟云学术

Prediction and Interpretable Visualization of Retrosynthetic Reactions Using Graph Convolutional Networks

Author:

Ishida Shoichi¹^ORCID,Terayama Kei²³⁴^ORCID,Kojima Ryosuke⁴,Takasu Kiyosei¹^ORCID,Okuno Yasushi³⁴⁵

Affiliation:

1. Graduate School of Pharmaceutical Sciences, Kyoto University, Yoshida, Sakyo-ku, Kyoto 606-8501, Japan

2. RIKEN Center for Advanced Intelligence Project, Chuo-ku, Tokyo 103-0027, Japan

3. Medical Sciences Innovation Hub Program, RIKEN Cluster for Science, Technology and Innovation Hub, Tsurumi-ku, Kanagawa 230-0045, Japan

4. Graduate School of Medicine, Kyoto University, Shogoin-kawaharacho, Sakyo-ku, Kyoto 606-8507, Japan

5. Foundation for Biomedical Research and Innovation at Kobe, Center for Cluster Development and Coordination, Chuo-ku, Kobe, Hyogo 650-0047, Japan

Funder

New Energy and Industrial Technology Development Organization

Ministry of Education, Culture, Sports, Science and Technology

Publisher

American Chemical Society (ACS)

Subject

Library and Information Sciences,Computer Science Applications,General Chemical Engineering,General Chemistry

Link

Reference44 articles.

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