Graph-based Reaction Classification by Contrasting between Precursors and Products-Reference-Cited by-同舟云学术

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Graph-based Reaction Classification by Contrasting between Precursors and Products

Published:2022-12-06 Issue: Volume: Page:
ISSN:
Container-title:2022 IEEE International Conference on Bioinformatics and Biomedicine (BIBM)
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Author:

Wang Zhengwei¹,Wang Yuxiao¹,Zhang Xuan¹,Meng Zhaoxu²,Yang Zhenghe³,Zhao Wei⁴,Cui Xuefeng¹

Affiliation:

1. Shandong University,School of Computer Science and Technology,Qingdao,China

2. Shandong University,School of Life Sciences,Qingdao,China

3. LTHPC (Beijing) Technology Company Limited,Beijing,China

4. Shandong University,State Key Laboratory of Microbial Technology,Qingdao,China

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9994793/9994847/09995338.pdf?arnumber=9995338

Reference32 articles.

1. Classification of chemical reactions: potential, possibilities and continuing relevance

2. Encyclopedia of Computational Chemistry

3. A Short Review of Chemical Reaction Database Systems, Computer-Aided Synthesis Design, Reaction Prediction and Synthetic Feasibility

4. Unassisted noise reduction of chemical reaction datasets

5. Organic Reactions Classified by Neural Networks: Michael Additions, Friedel–Crafts Alkylations by Alkenes, and Related Reactions

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1. Exploring Chemical Reaction Space with Machine Learning Models: Representation and Feature Perspective;Journal of Chemical Information and Modeling;2024-03-15

2. MetaGIN: A Lightweight Framework for Molecular Property Prediction;2023-10-20

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