Towards Stable, Globally Expressive Graph Representations with Laplacian Eigenvectors

Junru Zhou, Cai Zhou, Xiyuan Wang +2

A popular way to improve the expressive power of graph neural networks (GNNs) is to use Laplacian eigenvectors as additional node features, since they can serve both as structural…