Shan He

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

The paper introduces an active module identification algorithm for PPI networks using a convex optimization approach, showing effectiveness on single and multilayer networks.