GeoT: A Geometry-Aware Transformer for Reliable Molecular Property Prediction and Chemically Interpretable Representation Learning-Reference-Cited by-同舟云学术

GeoT: A Geometry-Aware Transformer for Reliable Molecular Property Prediction and Chemically Interpretable Representation Learning

Author:

Kwak Bumju¹^ORCID,Park Jiwon²³,Kang Taewon⁴,Jo Jeonghee⁵^ORCID,Lee Byunghan⁶^ORCID,Yoon Sungroh³⁷⁸^ORCID

Affiliation:

1. Recommendation Team, Kakao Corporation, Gyeonggi 13529, Republic of Korea

2. LG Chem, Seoul 07795, Republic of Korea

3. Interdisciplinary Program in Artificial Intelligence, Seoul National University, Seoul 08826, Republic of Korea

4. Department of Materials Science and Engineering, Korea Advanced Institute of Science and Technology (KAIST), Daejeon 34141, Republic of Korea

5. Institute of New Media and Communications, Seoul National University, Seoul 08826, Republic of Korea

6. Department of Electronic Engineering, Seoul National University of Science and Technology, Seoul 01811, Republic of Korea

7. Department of Electrical and Computer Engineering, Seoul National University, Seoul 08826, Republic of Korea

8. Artificial Intelligence Institute, Seoul National University, Seoul 08826, Republic of Korea

Funder

National Research Foundation of Korea

Institute for Information and Communications Technology Promotion

Publisher

American Chemical Society (ACS)

Subject

General Chemical Engineering,General Chemistry

Link

Reference44 articles.

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