Graph Neural Networks Pretraining Through Inherent Supervision for Molecular Property Prediction

Author:

Benjamin Roy1,Singer Uriel2,Radinsky Kira1

Affiliation:

1. Technion - Israel Institute of Technology, Haifa, Israel

2. Meta AI Research, Tel Aviv, Israel

Publisher

ACM

Reference52 articles.

1. Han Altae-Tran Bharath Ramsundar Aneesh S. Pappu and Vijay Pande. 2016. Low Data Drug Discovery with One-shot Learning. https://doi.org/10.48550/ARXIV.1611.03199 10.48550/ARXIV.1611.03199

2. Han Altae-Tran Bharath Ramsundar Aneesh S. Pappu and Vijay Pande. 2016. Low Data Drug Discovery with One-shot Learning. https://doi.org/10.48550/ARXIV.1611.03199

3. Guy Barshatski , Galia Nordon , and Kira Radinsky . 2021. Multi-Property Molecular Optimization Using an Integrated Poly-Cycle Architecture . Association for Computing Machinery , New York, NY, USA , 3727--3736. https://doi.org/10.1145/3459637.348 1938 10.1145/3459637.3481938 Guy Barshatski, Galia Nordon, and Kira Radinsky. 2021. Multi-Property Molecular Optimization Using an Integrated Poly-Cycle Architecture. Association for Computing Machinery, New York, NY, USA, 3727--3736. https://doi.org/10.1145/3459637.3481938

4. Unpaired Generative Molecule-to-Molecule Translation for Lead Optimization

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 ( 2018 ), 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 (2018), 1241--1250.

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