Ramanujan Graph Rewiring with Non Negative Resistance Curvature

Graph Neural Networks (GNNs) have emerged as a powerful paradigm for learning on graph-structured data by iteratively propagating and aggregating information across edges. However, conventional message passing schemes often suffer from over-squashing, whereby exponentially large neighborhoods are co…

View Post on Scour ↗

More from arXiv on Scour.