2023
Learning Invariant Molecular Representation in Latent Discrete Space
NeurIPS 2023poster
Molecular representation learning lays the foundation for drug discovery. However, existing methods suffer from poor out-of-distribution (OOD) generalization, particularly when data for training and testing originate from different environments. To address this issue, we propose a new framework for…