The integration of large language models (LLMs) with graph-structured data has become a pivotal and fast evolving research frontier, drawing strong interest from both academia and industry. The 2nd LLM+Graph Workshop, co-located with the 51st International Conference on Very Large Data Bases (VLDB 2025) in London, focused on advancing algorithms and systems that bridge LLMs, graph data management, and graph machine learning for practical applications. This report highlights the key research directions, challenges, and innovative solutions presented by the workshop's speakers.

翻译：大语言模型与图结构数据的融合已成为一个关键且快速演进的研究前沿，吸引了学术界和工业界的广泛关注。第二届LLM+Graph研讨会与第51届国际超大型数据库会议（VLDB 2025）在伦敦同期举办，专注于推进连接大语言模型、图数据管理与图机器学习的算法与系统，以应用于实际场景。本报告重点介绍了研讨会演讲者提出的主要研究方向、挑战及创新解决方案。