Linkless Link Prediction via Relational Distillation. (arXiv:2210.05801v1 [cs.LG])

Graph Neural Networks (GNNs) have been widely used on graph data and have
shown exceptional performance in the task of link prediction. Despite their
effectiveness, GNNs often suffer from high latency due to non-trivial
neighborhood data dependency in practical deployments. To address this issue,
researchers have proposed methods based on knowledge distillation (KD) to
transfer the knowledge from teacher GNNs to student MLPs, which are known to be
efficient even with industrial scale data, and have shown promising results on …

arxiv distillation link prediction prediction