Integrating Graph Neural Networks and Large Language Models for Stance Detection via Heterogeneous Stance Networks

Integrating Graph Neural Networks and Large Language Models for Stance Detection via Heterogeneous Stance Networks

Stance detection, the task of identifying the stance expressed in a text toward a specific target, is essential for analyzing public opinion across diverse domains. The existing approaches primarily focus on modeling the semantic relationship between the text and target, but they often struggle when...

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Bibliographic Details
Main Authors: Xinyi Chen, Bo Liu, Huaping Hu, Yiqing Cai, Mengmeng Guo, Xingkong Ma
Format: Article
Language:English
Published: MDPI AG 2025-05-01
Series:Applied Sciences
Subjects:
stance detection
graph neural networks
large language models
graph learning
heterogeneous networks
Online Access:https://www.mdpi.com/2076-3417/15/11/5809
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