G-Prompt: Graphon-based Prompt Tuning for graph classification

Yutai Duan, Jie Liu, Shaowei Chen, Liyi Chen, Jianhua Wu

Abstract: Highlights•Introducing graphon theory to generate graph-level prompts with knowledge.•Modeling conditional probabilities for prediction based on graph-level prompts.•Combining with existing graph pre-trained models for better performance.