Enhancing Graph Neural Networks with Limited Labeled Data by Actively Distilling Knowledge...

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Model Generalization on Text Attribute Graphs: Principles with Large Language Models

H Wang, S Liu, R Wei, P Li - arxiv preprint arxiv:2502.11836, 2025 - arxiv.org
Large language models (LLMs) have recently been introduced to graph learning, aiming to
extend their zero-shot generalization success to tasks where labeled graph data is scarce …
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Cost-Effective Label-free Node Classification with LLMs

T Zhang, R Yang, M Yan, X Ye, D Fan, Y Lai - arxiv preprint arxiv …, 2024 - arxiv.org
Graph neural networks (GNNs) have emerged as go-to models for node classification in
graph data due to their powerful abilities in fusing graph structures and attributes. However …
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