Learning Posterior Predictive Distributions for Node Classification from Synthetic Graph Priors
arXiv:2604.19028v1 Announce Type: new
Abstract: One of the most challenging problems in graph machine learning is generalizing across graphs with diverse properties. Graph neural networks (GNNs) face a fundamental limitation: they require separate tra…