Exploring the Potential of Large Language Models as Predictors in Dynamic Text-Attributed Graphs

Runlin Lei, Jiarui Ji, Haipeng Ding +4

With the rise of large language models (LLMs), there has been growing interest in Graph Foundation Models (GFMs) for graph-based tasks. By leveraging LLMs as predictors, GFMs have…