Scaling Molecular Representation Learning with Hierarchical Mixture-of-Experts
Xiang Zhang, Shenbao Yu, Jie Xia, Fan Yang
This paper introduces H-MoE, a hierarchical MoE model for molecular representation learning that improves generalization by incorporating scaffold-level routing and curriculum learning.
bioRxiv · Aug 9, 2025 · PreprintBioinformatics