most citedLLMs as Zero-shot Graph Learners: Alignment of GNN Representations with LLM Token Embeddings

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cs.LG2026

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

Fengzhi Li, Liang Zhang, Yuan Zuo +5

Graph-based tasks in the zero-shot setting remain a significant challenge due to data scarcity and the inability of traditional Graph Neural Networks (GNNs) to generalize to unseen…

cs.LG2024★ 1 cited

LLMs as Zero-shot Graph Learners: Alignment of GNN Representations with LLM Token Embeddings

Duo Wang, Yuan Zuo, Fengzhi Li +1

Zero-shot graph machine learning, especially with graph neural networks (GNNs), has garnered significant interest due to the challenge of scarce labeled data. While methods like se…