Dayu Qin

LLM-based Online Prediction of Time-varying Graph Signals (Student Abstract)

In this paper, we propose a novel framework that leverages Large Language Models (LLMs) for predicting missing values in time-varying graph signals by exploiting spatial and temporal smoothness. We leverage the power of LLM to achieve a message-passing scheme. For each missing node, its neighbors an…