Jianan Zhao discusses the strengths of the graph text approach, including its interpretability and explainability components. He explains how participants can engage in interactive graph reasoning by constructing a tree and utilizing features like Personalized Page Rank. This approach allows large language models to refine their predictions and understand the importance of different nodes in the graph. The future of graph text involves exploring instruction fine-tuning and enabling more complex reasoning with large language models.
