AdapterGNN: Parameter-Efficient Fine-Tuning Improves Generalization in GNNs

Shengrui Li, Xueting Han, Jing Bai

Fine-tuning pre-trained models has recently yielded remarkable performance gains in graph neural networks (GNNs). In addition to pre-training techniques, inspired by the latest wor…