Graph as a feature: improving node classification with non-neural
graph-aware logistic regression
Graph as a feature: improving node classification with non-neural
graph-aware logistic regression
Graph Neural Networks (GNNs) and their message passing framework that leverages both structural and feature information, have become a standard method for solving graph-based machine learning problems. However, these approaches still struggle to generalise well beyond datasets that exhibit strong homophily, where nodes of the same class tend to connect. …