Ruoyu Chai

LGA: LLM-GNN Aggregation for Temporal Evolution Attribute Graph Prediction

Temporal evolution attribute graph prediction, a key task in graph machine learning, aims to forecast the dynamic evolution of node attributes over time. While recent advances in Large Language Models (LLMs) have enabled their use in enhancing node representations for integration with Graph Neural N