A Comprehensive Survey of Large Language Models for Generative Graph Analytics: Querying, Learning, and Applications

Large language models (LLMs) can be effectively leveraged to handle various graph analytics tasks, including graph query processing, graph inference and learning, and graph-based applications, by integrating LLM capabilities with graph-specific techniques.