AINeutralarXiv – CS AI · Mar 47/104
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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.