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arXiv6h ago
4.6

GNN-as-Judge: Unleashing the Power of LLMs for Graph Learning with GNN Feedback

Ruiyao Xu, Kaize Ding

View original ↗

Analysis

Viral velocity
low
Implementation gapYES
Novelty6/10
Categorypaper
Topics
graphtrainingllm

Opportunity Brief

Create an integration library that uses GNN-based feedback to fine-tune LLMs on graph-structured data. This is a game changer for low-resource node classification tasks.

Suggested repo: graphjudge

"Finally, bridge the semantic gap between LLMs and graph structure."

Estimated effort: 90h