SIGIR

DCGL: Dual-Channel Graph Learning with Large Language Models for Knowledge-Aware Recommendation

DCGL: 基于大语言模型的双通道图学习用于知识感知推荐

Xinchi Zou, Tongzhenzhi Su, Jianjun Li, Yuan Fu, Chang Liu, Zhiying Deng, Zhiwei Shen

机构 * School of Computer Science and Technology, Huazhong University of Science and Technology（华中科技大学计算机科学与技术学院） ； School of Software Engineering, Huazhong University of Science and Technology（华中科技大学软件工程学院） ； Laboratory for Artificial Intelligence and New Forms of Education, Central China Normal University（中央财经大学人工智能与新教育形式实验室） 纠错

AI总结 本文提出DCGL框架，通过双通道架构、多级对比学习和动态融合机制，解决知识图谱与大语言模型结合中的隐含语义建模、单通道融合和用户行为频率考虑不足问题，实验表明其在稀疏场景中表现优异。

Comments Accepted by SIGIR 2026