Knowledge Graph-Enhanced Zero-Shot Topic Classification: A Multi-Strategy Comparative Study

This paper presents a zero-shot multi-label topic classification framework, systematically investigating how per-article knowledge graph augmentation affects its performance. The authors test eight methods across fifteen LLMs and eight multi-label datasets, finding that keyword-enhanced classification is the best performing method in the base framework.