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检索条件"主题词=Knowledge Graph embedding"
567 条 记 录,以下是491-500 订阅
排序:
Negative sampling and rule mining for explainable link prediction in knowledge graphs
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knowledge-BASED SYSTEMS 2022年 第0期250卷
作者: Islam, Kamrul Aridhi, Sabeur Smail-Tabbone, Malika Univ Lorraine CNRS Inria LORIA F-54000 Nancy France
Several KG embedding methods were proposed to learn low dimensional vector representations of entities and relations of a KG. Such representations facilitate the link prediction task, in the service of inference and K... 详细信息
来源: 评论
Combining embedding-based and symbol-based methods for entity alignment
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PATTERN RECOGNITION 2022年 124卷 108433-108433页
作者: Jiang, Tingting Bu, Chenyang Zhu, Yi Wu, Xindong Hefei Univ Technol Minist Educ Key Lab Knowledge Engn Big Data Hefei Peoples R China Hefei Univ Technol Sch Comp Sci & Informat Engn Hefei Peoples R China Hefei Univ Technol Inst Big Knowledge Sci Hefei Peoples R China Yangzhou Univ Sch Informat Engn Yangzhou Jiangsu Peoples R China Mininglamp Technol Mininglamp Acad Sci Beijing Peoples R China
The objective of entity alignment is to judge whether entities refer to the same object in the real world. Methods for entity alignment can be grossly divided into two groups: conventional symbol-based entity alignmen... 详细信息
来源: 评论
LiterallyWikidata - A Benchmark for knowledge graph Completion Using Literals  20th
LiterallyWikidata - A Benchmark for Knowledge Graph Completi...
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20th International Semantic Web Conference (ISWC)
作者: Gesese, Genet Asefa Alam, Mehwish Sack, Harald FIZ Karlsruhe Leibniz Inst Informat Infrastruct Eggenstein Leopoldshafen Germany Karlsruhe Inst Technol Inst AIFB Karlsruhe Germany
In order to transform a knowledge graph (KG) into a low dimensional vector space, it is beneficial to preserve as much semantics as possible from the different components of the KG. Hence, some link prediction approac... 详细信息
来源: 评论
Representing knowledge graphs with Gaussian Mixture embedding  14th
Representing Knowledge Graphs with Gaussian Mixture Embeddin...
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14th International Conference on knowledge Science, Engineering, and Management (KSEM)
作者: Feng, Wenying Zha, Daren Guo, Xiaobo Dong, Yao He, Yuanye Chinese Acad Sci Inst Informat Engn Beijing Peoples R China Univ Chinese Acad Sci Sch Cyber Secur Beijing Peoples R China
knowledge graph embedding (KGE) has attracted more and more attention and has been widely used in downstream AI tasks. Some proposed models learn the embeddings of knowledge graph (KG) into a low-dimensional continuou... 详细信息
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Neural-Answering Logical Queries on knowledge graphs  21
Neural-Answering Logical Queries on Knowledge Graphs
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27th ACM SIGKDD International Conference on knowledge Discovery and Data Mining (KDD)
作者: Liu, Lihui Du, Boxin Ji, Heng Zhai, ChengXiang Tong, Hanghang Univ Illinois Dept Comp Sci Champaign IL 61820 USA
Logical queries constitute an important subset of questions posed in knowledge graph question answering systems. Yet, effectively answering logical queries on large knowledge graphs remains a highly challenging proble... 详细信息
来源: 评论
CTEA: Context and Topic Enhanced Entity Alignment for knowledge graphs
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NEUROCOMPUTING 2020年 410卷 419-431页
作者: Yan, Zhihuan Peng, Rong Wang, Yaqian Li, Weidong Wuhan Univ Sch Comp Sci Wuhan Peoples R China
We study the problem of finding entities referring to the same real world object in multilingual knowledge graphs(KGs), i.e., entity alignment for multilingual KGs. Recently, embedding-based entity alignment methods g... 详细信息
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CODER: knowledge-infused cross-lingual medical term embedding for term normalization
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JOURNAL OF BIOMEDICAL INFORMATICS 2022年 126卷 103983-103983页
作者: Yuan, Zheng Zhao, Zhengyun Sun, Haixia Li, Jiao Wang, Fei Yu, Sheng Tsinghua Univ Ctr Stat Sci Weiqinglou Rm 209 Beijing 100084 Peoples R China Tsinghua Univ Dept Ind Engn Beijing Peoples R China Chinese Acad Med Sci Inst Med Informat Peking Union Med Coll Beijing Peoples R China Cornell Univ Weill Cornell Med Coll Dept Populat Hlth Sci Ithaca NY 14853 USA
Objective: This paper aims to propose knowledge-aware embedding, a critical tool for medical term normalization. Methods: We develop CODER (Cross-lingual knowledge-infused medical term embedding) via contrastive learn... 详细信息
来源: 评论
Translational relation embeddings for multi-hop knowledge base question answering
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JOURNAL OF WEB SEMANTICS 2022年 第0期74卷
作者: Li, Ziyan Wang, Haofen Zhang, Wenqiang Fudan Univ Acad Engn & Technol Shanghai Peoples R China Tongji Univ Coll Design & Innovat Shanghai Peoples R China
Multi-hop knowledge Base Question Answering (KBQA) aims to predict answers that require multi-hop reasoning from the topic entity in the question over the knowledge Base (KB). Relation extraction is a core step in KBQ... 详细信息
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Causality-aware Enhanced Model for Multi-hop Question Answering over knowledge graphs
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knowledge-BASED SYSTEMS 2022年 250卷
作者: Sui, Yuan Feng, Shanshan Zhang, Huaxiang Cao, Jian Hu, Liang Zhu, Nengjun Shandong Normal Univ Sch Informat Sci & Engn Jinan Peoples R China Shandong JiaoTong Univ Jinan Peoples R China Shanghai Jiao Tong Univ Sch Elect Informat & Elect Engn Shanghai Peoples R China Tongji Univ DeepBlue Acad Sci Sch Elect & Informat Engn Shanghai Peoples R China DeepBlue Acad Sci Shanghai Peoples R China Shanghai Univ Sch Comp Engn & Sci Shanghai Peoples R China
To improve the performance of knowledge graph-based question answering system (KGQA), several approaches have been developed to construct a semantic parser based on entity linking, relation identification and logical/... 详细信息
来源: 评论
embedding Dynamic knowledge graphs based on Observational Ontologies in Semantic Vector Spaces
Embedding Dynamic Knowledge Graphs based on Observational On...
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Conference on Artificial Intelligence and Machine Learning for Multi-Domain Operations Applications III
作者: Millar, Declan Braines, Dave D'Arcy, Laura Barclay, Iain Summers-Stay, Doug Cripps, Paul IBM Res Europe Hursley England Cardiff Univ Sch Comp Sci & Informat Cardiff Wales US Army Res Lab Adelphi MD USA Def Sci & Technol Lab Salisbury Wilts England
knowledge graphs (KGs) provide a useful representation format for capturing complex knowledge about an information domain, with rich logical descriptions available for defining the relationships between entities. Sepa... 详细信息
来源: 评论