Asymmetric contrastive multimodal learning for advancing chemical understanding
We propose an asymmetric contrastive multimodal learning framework, an effective and training-efficient framework tailored for molecules, promoting cross-modality understanding between the molecular graph and other chemical modalities.
Nov 11, 2023
