Open access
Aug 2026
A cross-graph tuning-free GNN prompting framework.
GNN prompting aims to adapt models across tasks and graphs without requiring extensive retraining. However, most existing graph prompt methods still require task-specific parameter updates and face the issue of generalizing across graphs, limiting their performance and undermining the core promise of prompting. In this...
Yaqi Chen, Shi-Xun Huang, Lei Wang et al.
· Neural Networks · 0 citations