Transferability of Graph Neural Networks using Graphon and Sampling Theories

A. Martina Neuman, Jason J. Bramburger

Graph neural networks (GNNs) have become powerful tools for processing graph-based information in various domains. A desirable property of GNNs is transferability, where a trained…