Convergence of Message Passing Graph Neural Networks with Generic Aggregation On Large Random Graphs

Matthieu Cordonnier, Nicolas Keriven, Nicolas Tremblay +1

We study the convergence of message passing graph neural networks on random graph models to their continuous counterpart as the number of nodes tends to infinity. Until now, this c…