Knowledge Graph Completion(知识补全) 由于知识图谱存在的天然的不完全性,KGC的任务就是向知识图谱中添加新的三元组。典型的子任务包括链接预测实体预测和关系预测。 该任务可定义为:给定一个不完全的知识图谱\mathcal{G} = (\mathcal{E}, \mathcal{R}, \mathcal{F})。KGC的目的是推断出缺失的三元组\mathc...
由于知识图谱天生不完整,多数的现有知识图库都是稀疏的。譬如在中Freebase中,66%的人都是缺少出生地这一关系的。 由此引出了知识图谱补全(knowledge graph completion,简称KGC)来向知识图谱添加新的三元组。 具体子任务包括链接预测,实体预测和关系预测。 head entity prediction:(?, r, t) relation prediction:(h...
We also introduced the research on FKGC in a specific domain - Temporal Knowledge Graph Completion (TKGC). Subsequently, we summarized the commonly used datasets and evaluation metrics in existing methods and evaluated the completion performance of different models in TKGC. Finally, we presented ...
论文标题(A Survey on Knowledge Graphs:Representation, Acquisition and Applications) https://arxiv.org/abs/2002.00388 知识图谱(Knowledge Graph)# 知识图谱是对事实的结构化表示,由实体、关系和语义描述构成。 实体可以是真实世界的对象也可以是抽象的概念 关系代表实体之间的关系 语义描述包含具体有定义明确的类型...
In this article, we provide a survey of such knowledge graph refinement approaches, with a dual look at both the methods being proposed as well as the evaluation methodologies used. 展开 关键词: Knowledge graphs refinement completion correction error detection evaluation ...
In this survey, we provide a comprehensive review on knowledge graph covering overall research topics about 1) knowledge graph representation learning, 2) knowledge acquisition and completion, 3) temporal knowledge graph, and 4) knowledge-aware applications, and summarize recent breakthroughs and ...
Knowledge Graph Refinement: A Survey of Approaches and Evaluation Methods 喜欢 0 阅读量: 1110 作者:Paulheim,Heiko 摘要: In the recent years, different Web knowledge graph 关键词:Knowledge Graphs Refinement Completion Correction Error Detection Evaluation ...
Scene Graph Generation[ACM MM 2023] Prior Knowledge-driven Dynamic Scene Graph Generation with Causal Inference. [WACV 2023] More Knowledge, Less Bias: Unbiasing Scene Graph Generation with Explicit Ontological Adjustment. [ICME 2022] Zero-Shot Scene Graph Generation with Knowledge Graph Completion. ...
Temporal Knowledge Graph Question Answering: A Survey Abstract Knowledge Base Question Answering (KBQA) has been along-standingfield to answer questions based on knowledge bases. Recently, the evolving dynamics of knowledge have attracted a growing interest in Temporal Knowledge Graph Question Answering (...
知识图谱嵌入 knowledge graph embedding:将包含实体和关系的KG的三元组嵌入到连续的向量空间中,以便简化操作,同时保留KG的固有结构。KG嵌入有利于后续任务的开展,例如知识图谱补全(KG completion)、关系提取(relation extraction)、实体分类(entity classification)、实体决议(entity resolution)等. ...