可建模语义分层的KG embedding for relation/link completion 可建模语义分层的KG embeddingforrelation/linkcompletion1.LearningHierarchy-AwareKnowledgeGraphEmbeddingsforLinkPrediction知识图谱补全的方法可分为三种: 基于距离的模型 双线性模型 神经网络模型 本文属于第一种,基于距离的模型,这类模型可以建模互逆,对称与复合...
The code of paper Learning Hierarchy-Aware Knowledge Graph Embeddings for Link Prediction. Zhanqiu Zhang, Jianyu Cai, Yongdong Zhang, Jie Wang. AAAI 2020. - zyynnn/KGE-HAKE
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...
An approach for embedding hierarhical structures into a continuous vector space using variational autoencoders. machine-learningdeep-learningsymbolic-regressiongenerative-modelhierarchyvariational-autoencoderequation-discovery UpdatedOct 4, 2023 Python
which represent strong semantics and can help identify unique code structures. We further analyze these hierarchy combinations and propose a novel compression algorithm Hierarchy BPE. Our algorithm can extract frequent hierarchy combinations and reduce the total length of hierarchical embedding. Based on th...
Hierarchy-Aware Knowledge Graph Embeddings(HAKE)就是不增加额外的信息,利用知识图谱的语义层级建模。 HAKE为了区分所有的实体,将实体嵌入分为两部分: 不同的语义层级下的实体,使用极坐标的模长/极径(modulus)表示 同一语义层级下的不同实体,使用极坐标的相位/极角(phase)表示 ...
This architecture supports a criterion for anepisodic memoryheretofore called Criterion (1): maintaining the temporal order of the events. It enforces this criterion by embedding the events in a string of connectivity. Note that the neural cellp1represents the evente1; when activated during recall,...
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 ...
We propose a novel knowledge graph embedding model called Hierarchy-Aware Paired Relation Vectors Knowledge Graph Embedding (HPRE) to bridge this gap. By leveraging the power of 2D coordinates, HPRE adeptly model relation patterns, multi-relation types, and hierarchical features in the knowledge ...
We propose a Knowledge Graph Embedding Based on Semantic Hierarchy (SHKE), which fully considers the information of knowledge graph by fusing the semantic information of the knowledge graph and the hierarchical information. The knowledge graph is mapped to a polar coordinate system, where concentric ...