A Survey of Graph Prompting Methods: Techniques, Applications, and Challenges

no code implementations • 13 Mar 2023 • Xuansheng Wu, Kaixiong Zhou, Mingchen Sun, Xin Wang, Ninghao Liu

In particular, we introduce the basic concepts of graph prompt learning, organize the existing work of designing graph prompting functions, and describe their applications and future challenges.

GPPT: Graph Pre-training and Prompt Tuning to Generalize Graph Neural Networks

1 code implementation • SIGKDD 2022 • Mingchen Sun, Kaixiong Zhou, Xin He, Ying Wang, Xin Wang

Based on the pre-trained model, we propose the graph prompting function to modify the standalone node into a token pair, and reformulate the downstream node classification looking the same as edge prediction.

Few-Shot Learning Node Classification +3