Meta-MolNet: A Cross-Domain Benchmark for Few Examples Drug Discovery-Reference-Cited by-同舟云学术

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Meta-MolNet: A Cross-Domain Benchmark for Few Examples Drug Discovery

Published:2024 Issue: Volume: Page:1-15
ISSN:2162-237X
Container-title:IEEE Transactions on Neural Networks and Learning Systems
language:
Short-container-title:IEEE Trans. Neural Netw. Learning Syst.

Author:

Lv Qiujie¹^ORCID,Chen Guanxing¹^ORCID,Yang Ziduo¹,Zhong Weihe²,Chen Calvin Yu-Chian³^ORCID

Affiliation:

1. School of Intelligent Systems Engineering, Artificial Intelligence Medical Research Center, Shenzhen Campus of Sun Yat-sen University, Shenzhen, China

2. Shanghai Institute of Materia Medica, Zhongshan Institute for Drug Discovery, Chinese Academy of Sciences, Zhongshan, China

3. AI for Science (AI4S)-Preferred Program, Peking University Shenzhen Graduate School, Shenzhen, China

Funder

National Natural Science Foundation of China

Research and Development Program of Guangzhou Science and Technology Bureau

Key-Area Research and Development Program of Guangdong Province

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx7/5962385/6104215/10436119.pdf?arnumber=10436119

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Emerging opportunities of using large language models for translation between drug molecules and indications;Scientific Reports;2024-05-10

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