Junwei Su

Research focuses on improving training efficiency in dynamic graphs.

Exploring methods to enhance machine learning in dynamic graph environments.

This study explores how topology awareness affects Graph Neural Network performance and fairness.

A new framework enhances the efficiency of heterogeneous graph learning.

This study examines how preconditioning can enhance SGD performance over ridge regression.

A new framework enhances training efficiency for complex networks.

Discover how TGNNs model changing data relationships over time.