③ Graph Structures:GAKE: Graph aware knowledge embedding提出嵌入模型利用三种类型的图结构来学习实体和关系表示,分别是 neighbor context,path context,edge context。 ④ Evidence from Other Relational Learning Methods:将KG嵌入与其他关系学习方法相结合,例如路径排序算法。可以参考: M. Nickel, X. Jiang, and ...
因此,链路预测(link prediction)/知识图谱补全(knowledge base completion)成为了研究的一个方向。即如何根据已有的事实,预测可能存在的事实。 受到词嵌入的启发,知识图谱嵌入(knowgraph graph embedding)——将知识图谱映射到离散的表示形式,就成为了研究热点。 知识图谱嵌入的应用方向很多,不只是链路预测,还包括实体分类...
Knowledge graph embeddingGraph attention mechanismEntity typingLink predictionThe knowledge graph, which utilizes graph structure to represent multi-relational data, has been widely used in the reasoning and prediction tasks, attracting considerable research efforts recently. However, most existing works still...
In this paper, we propose a graph aware knowledge embedding method (GAKE), which formulates knowledge base as a directed graph, and learns representations for any vertices or edges by leveraging the graph's structural information. We introduce three types of graph context for embedding: neighbor ...
To address this challenge, we propose a novel knowledge graph embedding model -- namely, Hierarchy-Aware Knowledge Graph Embedding (HAKE) -- which maps entities into the polar coordinate system. HAKE is inspired by the fact that concentric circles in the polar coordinate system can naturally ...
论文笔记:AAAI 2020 Learning Hierarchy-Aware Knowledge Graph Embeddings for Link Prediction,程序员大本营,技术文章内容聚合第一站。
Knowledge Graph Embedding projects triples in a given knowledge graph to d-dimensional vectors. We provide the source code and datasets of the COLING 2016 paper: "GAKE:Graph Aware Knowledge Embedding". DataSets We provide FB15K in data folder. The data is originally released by the paper "Trans...
Feng J, Huang M, Yang Y.GAKE: graph aware knowledge embedding. COLING. 2016: 641-651. (GAKE) 知识推理/知识挖掘 Nickel M, Tresp V, Kriegel H P.A Three-Way Model for Collective Learning on Multi-Relational Data. ICML2011: 809-816. ...
To address this challenge, we propose a novel knowledge graph embedding model—namely, Hierarchy-Aware Knowledge Graph Embedding (HAKE)—which maps entities into the polar coordinate system. HAKE is inspired by the fact that concentric circles in the polar coordinate system can naturally reflect the...
4.1 Preliminaries: Knowledge-aware Graph Neural Networks 我们的方法的第一步是将一个异构的KG转换成一个描述用户偏好的个性化加权图。为此,与[28]相似,我们使用了一个用户特定的关系评分函数su(r),该函数为用户u提供了关系r的重要性:su(r)=g(u,r),其中u和r分别是用户u和关系类型r的特征向量,而g是可微函...