MGMAE-Reference-Cited by-同舟云学术

MGMAE

Published:2022-10-17 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 31st ACM International Conference on Information & Knowledge Management
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Author:

Feng Jinjia¹,Wang Zhen²,Li Yaliang³,Ding Bolin³,Wei Zhewei⁴,Xu Hongteng⁴

Affiliation:

1. Peng Cheng Laboratory & Renmin University of China, Shenzhen, China

2. Alibaba Group, Hangzhou, China

3. Alibaba Group, Bellevue, WA, USA

4. Renmin University of China, Beijing, China

Funder

the major key project of PCL

National Natural Science Foundation of China

Beijing Outstanding Young Scientist Program

Beijing Natural Science Foundation

Alibaba Group through Alibaba Innovative Research Program

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3511808.3557395

Reference58 articles.

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2. The Properties of Known Drugs. 1. Molecular Frameworks

3. Maxwell L Bileschi David Belanger Drew H Bryant Theo Sanderson Brandon Carter D Sculley Alex Bateman Mark A DePristo and Lucy J Colwell. 2022. Using deep learning to annotate the protein universe. Nature Biotechnology 1--6. Maxwell L Bileschi David Belanger Drew H Bryant Theo Sanderson Brandon Carter D Sculley Alex Bateman Mark A DePristo and Lucy J Colwell. 2022. Using deep learning to annotate the protein universe. Nature Biotechnology 1--6.

4. Rémy Brossard Oriel Frigo and David Dehaene. 2020. Graph convolutions that can finally model local structure. arXiv preprint arXiv:2011.15069. Rémy Brossard Oriel Frigo and David Dehaene. 2020. Graph convolutions that can finally model local structure. arXiv preprint arXiv:2011.15069.

5. Hongming Chen Ola Engkvist Yinhai Wang Marcus Olivecrona and Thomas Blaschke. 2018. The rise of deep learning in drug discovery. Drug discovery today 23 6 1241--1250. Hongming Chen Ola Engkvist Yinhai Wang Marcus Olivecrona and Thomas Blaschke. 2018. The rise of deep learning in drug discovery. Drug discovery today 23 6 1241--1250.

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