Zhifei Liao

Clustering as Reasoning: A $k$-Means Interpretation of Chain-of-Thought Graph Learning

Chain-of-Thought (CoT) prompting has shown promise in enhancing the reasoning capabilities of large language models (LLMs) on text-attributed graphs (TAGs). This work reframes CoT-based graph learning through the principle of clustering as reasoning, offering a $k$-means interpretation of how iterat…