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相关实验视频

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通过双层嵌入,对时间知识图进行近似查询.

Jiaxuan Liu1, Xinyi Duan2, Luyi Bai2

  • 1Sydney Smart Technology College, Northeastern University, Qinhuangdao 066004, China.

Entropy (Basel, Switzerland)
|December 24, 2025
PubMed
概括
此摘要是机器生成的。

本研究引入了一种新方法,用于在动态时间知识图 (TKG) 中进行近似查询. 两级近似查询 (TLAQ) 方法增强了图形嵌入,以获得更准确的结果.

关键词:
大概的查询查询.时间知识图表的时间知识图表.两层嵌入式嵌入式

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科学领域:

  • 计算机科学 计算机科学
  • 人工智能的人工智能
  • 数据科学数据科学数据科学

背景情况:

  • 在现实世界的应用中,对知识图 (KG) 进行近似查询至关重要.
  • 现有的方法主要针对静态的KG,忽视了它们的动态性质.
  • 时间知识图 (TKG) 包含随时间变化的信息,这带来了独特的挑战.

研究的目的:

  • 开发一种有效的方法,用于在时间知识图 (TKG) 中进行近似查询.
  • 解决处理动态和时间感知数据的现有方法的局限性.
  • 为了提高查询结果的准确性和相关性,从不断发展的KG.

主要方法:

  • 为TKG提出了一种两级近似查询 (TLAQ) 方法.
  • 增强图形卷积网络 (GCN) 固有矩阵,用于改进顶点和图形嵌入.
  • 在顶点层面引入了关系可靠性和属性信任.
  • 在图形层面进行统一的时间编码,以加强嵌入模型.

主要成果:

  • TLAQ方法在处理TKG上的近似查询方面表现出有效性.
  • 拟议的方法在实验评估中显示了与现有方法相比更好的性能.
  • 两级嵌入策略成功地捕捉了时间动态和关系.

结论:

  • TLAQ 方法为动态 TKG 中的近似查询提供了一个强大的解决方案.
  • 用时间信息增强图形嵌入是提高查询准确性的关键.
  • 这项工作有助于更高效,更有效地从不断变化的知识库中检索信息.