UniCorn: A Unified Contrastive Learning Approach for Multi-view
Molecular Representation Learning
UniCorn: A Unified Contrastive Learning Approach for Multi-view
Molecular Representation Learning
Recently, a noticeable trend has emerged in developing pre-trained foundation models in the domains of CV and NLP. However, for molecular pre-training, there lacks a universal model capable of effectively applying to various categories of molecular tasks, since existing prevalent pre-training methods exhibit effectiveness for specific types of downstream tasks. …