Shared Growth of Graph Neural Networks via Prompted Free-direction Knowledge Distillation

no code implementations • 2 Jul 2023 • Kaituo Feng, Yikun Miao, Changsheng Li, Ye Yuan, Guoren Wang

Knowledge distillation (KD) has shown to be effective to boost the performance of graph neural networks (GNNs), where the typical objective is to distill knowledge from a deeper teacher GNN into a shallower student GNN.

Knowledge Distillation Transfer Learning