BriefGPT.xyz
May, 2023
将解释作为特征:基于LLM的文本属性图特征
Explanations as Features: LLM-Based Features for Text-Attributed Graphs
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Xiaoxin He, Xavier Bresson, Thomas Laurent, Bryan Hooi
TL;DR
该论文的主要研究方向是在图神经网络中利用自然语言处理模型来提高文本理解能力,并将其作为图结构的特征以提高下游任务的性能。通过在多个数据集上的实验证明,采用该方法在一定程度上提升了图神经网络模型的表现。
Abstract
representation learning
on
text-attributed graphs
(TAGs) has become a critical research problem in recent years. A typical example of a TAG is a paper citation graph, where the text of each paper serves as node a
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