Beyond One-Size-Fits-All: Adaptive Subgraph Denoising for Zero-Shot Graph Learning with Large Language Models

Researchers introduce GraphSSR, a new framework that improves zero-shot graph learning by combining Large Language Models with adaptive subgraph denoising. The system addresses structural noise issues in existing methods through a dynamic 'Sample-Select-Reason' pipeline and reinforcement learning training.