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检索条件"主题词=Knowledge Graph embedding"
566 条 记 录,以下是201-210 订阅
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Improving knowledge graph embedding Using Locally and Globally Attentive Relation Paths  42nd
Improving Knowledge Graph Embedding Using Locally and Global...
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42nd European Conference on IR Research
作者: Jia, Ningning Cheng, Xiang Su, Sen Beijing Univ Posts & Telecommun State Key Lab Networking & Switching Technol Beijing Peoples R China
knowledge graphs' incompleteness has motivated many researchers to propose methods to automatically infer missing facts in knowledge graphs. knowledge graph embedding has been an active research area for knowledge... 详细信息
来源: 评论
knowledge graph embedding Based On Multiinformation Fusion
Knowledge Graph Embedding Based On Multiinformation Fusion
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第一届计算机科学与教育信息化国际会议
作者: Dehai Zhang Yuncong He Yanpeng Wang Qing Liu Ying Yang Software College Yunnan University
The knowledge graph embedding aims to represent the elements in the knowledge graph as lowdimensional dense distributed representation vectors in the continuous semantic space, which has achieved good results in the k... 详细信息
来源: 评论
N-MlpE: Optimizing Multilayer Perceptron Network-based knowledge graph embedding Model with Neighborhood Information  29
N-MlpE: Optimizing Multilayer Perceptron Network-based Knowl...
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29th IEEE International Conference on Parallel and Distributed Systems, ICPADS 2023
作者: Xu, Qing Ren, Xiaoli Ren, Kaijun Lin, Jiarun Li, Xiaoyong National University of Defense Technology College of Meteorology and Oceanography Changsha China
As an effective knowledge organizing and modeling technique, knowledge graph has become a key topic in graph research, but the practical application of KG is limited by its incompleteness. In recent years, many knowle... 详细信息
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Learning knowledge graph embedding with a dual-attention embedding network
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EXPERT SYSTEMS WITH APPLICATIONS 2023年 212卷
作者: Fang, Haichuan Wang, Youwei Tian, Zhen Ye, Yangdong Zhengzhou Univ Sch Comp & Artificial Intelligence Zhengzhou 450001 Peoples R China
knowledge graph embedding (KGE) aims to retain the intrinsic structural information of knowledge graphs (KGs) via representation learning, which is critical for various downstream tasks including personalized recommen... 详细信息
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A collaborative learning framework for knowledge graph embedding and reasoning
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knowledge-BASED SYSTEMS 2024年 289卷
作者: Wang, Hao Song, Dandan Wu, Zhijing Li, Jia Zhou, Yanru Xu, Jing Beijing Inst Technol Sch Comp Sci & Technol Beijing Peoples R China
knowledge graph embedding (KGE) and knowledge graph reasoning (KGR) aim to automatic completion of knowledge graph (KG). The difference is that most KGE models learn the embedded representation at a triple level. In c... 详细信息
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Towards the Web of embeddings: Integrating multiple knowledge graph embedding spaces with FedCoder
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JOURNAL OF WEB SEMANTICS 2023年 75卷
作者: Baumgartner, Matthias Dell'Aglio, Daniele Paulheim, Heiko Bernstein, Abraham Univ Zurich Dept Informat Zurich Switzerland Aalborg Univ Dept Comp Sci Aalborg Denmark Univ Mannheim Data & Web Sci Grp Mannheim Germany
The Semantic Web is distributed yet interoperable: Distributed since resources are created and published by a variety of producers, tailored to their specific needs and knowledge;Interoperable as entities are linked a... 详细信息
来源: 评论
Kernel multi-attention neural network for knowledge graph embedding
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knowledge-BASED SYSTEMS 2021年 227卷 107188-107188页
作者: Jiang, Dan Wang, Ronggui Yang, Juan Xue, Lixia Hefei Univ Technol Sch Comp & Informat Hefei 230601 Peoples R China
Link prediction is the problem of predicting missing link between entities and relations for knowledge graph. In recent years, some tasks have achieved great success for link prediction, but these tasks are far from e... 详细信息
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Advancing drug-target interaction prediction: a comprehensive graph-based approach integrating knowledge graph embedding and ProtBert pretraining
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BMC BIOINFORMATICS 2023年 第1期24卷 488-488页
作者: Djeddi, Warith Eddine Hermi, Khalil Ben Yahia, Sadok Diallo, Gayo Univ Tunis Manar Fac Sci Tunis LR11ES14 Campus Univ Tunis 2092 Tunisia Univ Jendouba High Inst Informat Kef Saleh Ayech Jendouba 8189 Tunisia Tallinn Univ Technol Dept Software Sci Ehitajate Tee-5 EE-12618 Tallinn Estonia Univ Bordeaux Bordeaux Populat Hlth Inserm 1219 Rue Leo Saignat F-33000 Bordeaux France Southern Syddansk Univ Maersk Mc Kinney Moller Inst Als 2 DK-6400 Sonderborg Denmark
BackgroundThe pharmaceutical field faces a significant challenge in validating drug target interactions (DTIs) due to the time and cost involved, leading to only a fraction being experimentally verified. To expedite d... 详细信息
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Learning knowledge graph embedding with multi-granularity relational augmentation network
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EXPERT SYSTEMS WITH APPLICATIONS 2023年 第1期233卷
作者: Xue, Zengcan Zhang, Zhaoli Liu, Hai Yang, Shuoqiu Han, Shuyun Cent China Normal Univ Natl Engn Res Ctr E Learning Wuhan 430070 Peoples R China
knowledge graph embedding (KGE) aims to complete link prediction tasks effectively by learning the representation of entity and relation. Recently, deep neural networks have achieved prominent results for learning KGE... 详细信息
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Learning high-order structural and attribute information by knowledge graph attention networks for enhancing knowledge graph embedding
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knowledge-BASED SYSTEMS 2022年 250卷
作者: Liu, Wenqiang Cai, Hongyun Cheng, Xu Xie, Sifa Yu, Yipeng Dukehyzhang Tencent Inc Interact Entertainment Grp Shenzhen Peoples R China
The goal of representation learning of knowledge graph is to encode both entities and relations into a low-dimensional embedding space. Many recent works have demonstrated the benefits of knowledge graph embedding on ... 详细信息
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