Abstract: Hyperbolic graph convolutional networks (HGCNs) have demonstrated significant potential in extracting information from hierarchical graphs. However, existing HGCNs are limited to shallow ...

Abstract: Graph neural networks (GNNs) have excelled in predicting graph properties in various applications ranging from identifying trends in social networks to drug discovery and malware detection.

Sameena Zahoor, MD, is board-certified in family medicine and works at the Hope Clinic, which provides free primary medical care to uninsured and under-insured patients, as a physician. The appendix ...