Learning Multi-view Molecular Representations with Structured and Unstructured Knowledge-Reference-Cited by-同舟云学术

Learning Multi-view Molecular Representations with Structured and Unstructured Knowledge

Published:2024-08-24 Issue: Volume:8 Page:2082-2093
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Container-title:Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining
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Author:

Luo Yizhen¹^ORCID,Yang Kai¹^ORCID,Hong Massimo¹^ORCID,Liu Xing Yi¹^ORCID,Nie Zikun¹^ORCID,Zhou Hao¹^ORCID,Nie Zaiqing²^ORCID

Affiliation:

1. Institute for AI Industry Research (AIR), Tsinghua University, Beijing, China

2. Institute for AI Industry Research (AIR), Tsinghua University & Pharmolix Inc., Beijing, China

Funder

Pharmolix Inc.

The National Key R&D Program of China

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3637528.3672043

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5. Seyone Chithrananda, Gabriel Grand, and Bharath Ramsundar. 2020. ChemBERTa: large-scale self-supervised pretraining for molecular property prediction. arXiv preprint arXiv:2010.09885 (2020).