A Graph Laplacian Eigenvector-based Pre-training Method for Graph Neural Networks

Howard Dai, Nyambura Njenga, Hiren Madhu +4

The development of self-supervised graph pre-training methods is a crucial ingredient in recent efforts to design robust graph foundation models (GFMs). Structure-based pre-trainin…