Convergence of gradient based training for linear Graph Neural Networks

Dhiraj Patel, Anton Savostianov, Michael T. Schaub

Graph Neural Networks (GNNs) are powerful tools for addressing learning problems on graph structures, with a wide range of applications in molecular biology and social networks. Ho…