DynLLM: When Large Language Models Meet Dynamic Graph Recommendation

no code implementations • 13 May 2024 • Ziwei Zhao, Fake Lin, Xi Zhu, Zhi Zheng, Tong Xu, Shitian Shen, Xueying Li, Zikai Yin, Enhong Chen

To bridge this gap, in this paper, we propose a novel framework, called DynLLM, to deal with the dynamic graph recommendation task with LLMs.

Graph Embedding Recommendation Systems