Yang Yue

Integration of molecular coarse-grained model into geometric representation learning framework for protein-protein complex property prediction

The paper introduces MCGLPPI, a geometric representation learning framework that combines graph neural networks with a molecular coarse-grained model to predict PPI properties efficiently.

FLONE: fully Lorentz network embedding for inferring novel drug targets

FLONE improves drug target prediction by using hyperbolic space embeddings to better capture hierarchical relationships in drug-disease-target networks.