Author(s): O. Duranthon and L. Zdeborová An asymptotic analysis of graph convolutional networks shows that deeper architectures can boost performance when designed with residual connections, offering the first precise theory for infinitely deep graph neural networks. [Phys. Rev. X 15, 041026] Published Mon Nov 10, 2025