Structure Enhanced Graph Neural Networks for Link Prediction. (arXiv:2201.05293v1 [cs.LG])

Graph Neural Networks (GNNs) have shown promising results in various tasks,
among which link prediction is an important one. GNN models usually follow a
node-centric message passing procedure that aggregates the neighborhood
information to the central node recursively. Following this paradigm, features
of nodes are passed through edges without caring about where the nodes are
located and which role they played. However, the neglected topological
information is shown to be valuable for link prediction tasks. In this paper,
we propose …

arxiv graph graph neural networks link prediction networks neural networks prediction