Nicholas J. A. Harvey

Spectral Basis Learning for Expressive Graph Neural Networks in Link Prediction

Graph Neural Networks (GNNs) excel in handling graph-structured data but often underperform in link prediction tasks compared to classical methods, mainly due to the limitations of the commonly used message-passing principle. Notably, their ability to distinguish non-isomorphic graphs is limited by