LLM与图数据融合成新热点，聚焦实用系统与算法突破
LLM+Graph@VLDB'2025 Workshop Summary
- 整合大模型与图数据的算法与系统设计
- 推动图数据库与图机器学习的实际应用落地
- 适合关注智能数据管理的科研与工程人员
大型语言模型（LLMs）与图结构数据的融合已成为学术界和工业界高度关注的前沿领域。第二届LLM+Graph研讨会于2025年伦敦举行的第51届国际大型数据库会议（VLDB 2025）期间召开，聚焦于推进大模型、图数据管理与图机器学习之间的算法与系统创新，以支持实际应用场景。本报告总结了研讨会中呈现的关键研究方向、挑战及创新解决方案，涵盖从基础架构到应用落地的多个层面。
原文摘要 · Abstract (English)
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.
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