Moleco: Molecular Contrastive Learning with Chemical Language Models for Molecular Property Prediction
Nov 1, 2024·
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0 min read
Jun-Hyung Park
Equal contribution
Dr. Alex Johnson
Equal contribution
,Yeachan Kim
Woosang Lim
SangKeun Lee
Abstract
We propose Moleco, a molecular contrastive learning framework using chemical language models for molecular property prediction.
Type
Publication
Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing: Industry Track (EMNLP 2024, Industry)
Authors
Dr. Alex Johnson
(he/him)
Senior AI Research Scientist
Alex Johnson is a Senior AI Research Scientist at Meta AI. His research
has been published in top conferences like NeurIPS and ICML, with over
10,000 citations. Alex is passionate about pushing the boundaries of AI
while ensuring ethical development.