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检索条件"主题词=Knowledge Graph embedding"
567 条 记 录,以下是201-210 订阅
排序:
Rule-enhanced Noisy knowledge graph embedding via Low-quality Error Detection  11
Rule-enhanced Noisy Knowledge Graph Embedding via Low-qualit...
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11th IEEE International Conference on knowledge graph (IEEE ICKG)
作者: Hong, Yan Bu, Chenyang Jiang, Tingting Hefei Univ Technol Minist Educ Key Lab Knowledge Engn Big Data Hefei 230009 Peoples R China Hefei Univ Technol Sch Comp Sci & Informat Engn Hefei 230009 Peoples R China Hefei Univ Technol Inst Big Knowledge Sci Hefei 23009 Peoples R China
knowledge graphs (KGs) have been widely applied in many fields such as recommendation systems and knowledge reasoning. embedding KGs into a continuous vector space has quickly gained significant attention. However, mo... 详细信息
来源: 评论
Rotate3D: Representing Relations as Rotations in Three-Dimensional Space for knowledge graph embedding  20
Rotate3D: Representing Relations as Rotations in Three-Dimen...
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29th ACM International Conference on Information and knowledge Management (CIKM)
作者: Gao, Chang Sun, Chengjie Shan, Lili Lin, Lei Wang, Mingjiang Harbin Inst Technol Harbin Heilongjiang Peoples R China Harbin Inst Technol SZ Shenzhen Guangdong Peoples R China
knowledge graph embedding, which aims to learn low-dimensional embeddings of entities and relations, plays a vital role in a wide range of applications. It is crucial for knowledge graph embedding models to model and ... 详细信息
来源: 评论
Enhancing knowledge graph embedding with Relational Constraints  11
Enhancing Knowledge Graph Embedding with Relational Constrai...
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11th IEEE International Conference on knowledge graph (IEEE ICKG)
作者: Li, Mingda Sun, Zhengya Zhang, Siheng Zhang, Wensheng Chinese Acad Sci Res Ctr Precis Sensing & Control Inst Automat Beijing Peoples R China Univ Chinese Acad Sci Beijing Peoples R China
knowledge graph embedding is studied to embed entities and relations of a knowledge graph into continuous vector spaces, which benefits a variety of real-world applications. Among existing solutions, translation-based... 详细信息
来源: 评论
Compressing knowledge graph embedding with Relational graph Auto-encoder  10
Compressing Knowledge Graph Embedding with Relational Graph ...
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10th IEEE International Conference on Electronics Information and Emergency Communication (IEEE ICEIEC)
作者: Zhang, Shiyu Zhang, Zhao Zhuang, Fuzhen Shi, Zhiping Han, Xu Capital Normal Univ Coll Informat Engn Beijing 100048 Peoples R China Chinese Acad Sci Inst Comp Technol Beijing 100049 Peoples R China
knowledge graphs (KGs) are extremely useful resources for varieties of applications. However, with the large and steadily growing sizes of modern KGs, knowledge graph embeddings (KGE), which represent entities and rel... 详细信息
来源: 评论
Prediction of adverse drug reactions based on knowledge graph embedding
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BMC MEDICAL INFORMATICS AND DECISION MAKING 2021年 第1期21卷 38-38页
作者: Zhang, Fei Sun, Bo Diao, Xiaolin Zhao, Wei Shu, Ting Chinese Acad Med Sci & Peking Union Med Coll Natl Ctr Cardiovasc Dis Fuwai Hosp Dept Informat Ctr 167 North Lishi Rd Beijing 100037 Peoples R China Natl Hlth Commiss Natl Inst Hosp Adm Bldg 3Yard 6Shouti South Rd Beijing 100044 Peoples R China
BackgroundAdverse drug reactions (ADRs) are an important concern in the medication process and can pose a substantial economic burden for patients and hospitals. Because of the limitations of clinical trials, it is di... 详细信息
来源: 评论
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
A knowledge graph embedding Model Based on Node-Relation Fusion Perception  2020
A Knowledge Graph Embedding Model Based on Node-Relation Fus...
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2020 The 9th International Conference on Networks, Communication and Computing
作者: Zuowei Tang Lixia DU Lanzhou Jiaotong University China School of Electronic & Information Engineering Lanzhou Jiaotong University China
Although modeling graph structure data with graph convolution network has become a hot research topic in recent years, the research subject in most papers are simple undirected graphs while the multi-relational ones, ... 详细信息
来源: 评论
knowledge graph embedding With Interactive Guidance From Entity Descriptions
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IEEE ACCESS 2019年 7卷 156686-156693页
作者: Zhou, Wen'an Wang, Shirui Jiang, Chao Beijing Univ Posts & Telecommun Sch Comp Sci Beijing 100876 Peoples R China
knowledge graph (KG) embedding aims to represent both entities and relations into a continuous low-dimensional vector space. Most previous attempts perform the embedding task using only knowledge triples to indicate r... 详细信息
来源: 评论
Exploring Scholarly Data by Semantic Query on knowledge graph embedding Space  23rd
Exploring Scholarly Data by Semantic Query on Knowledge Grap...
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23rd International Conference on Theory and Practice of Digital Libraries (TPDL)
作者: Hung Nghiep Tran Takasu, Atsuhiro SOKENDAI Grad Univ Adv Studies Tokyo Japan Natl Inst Informat Tokyo Japan
The trends of open science have enabled several open scholarly datasets which include millions of papers and authors. Managing, exploring, and utilizing such large and complicated datasets effectively are challenging.... 详细信息
来源: 评论
Top-N Collaborative Filtering Recommendation Algorithm Based on knowledge graph embedding  14th
Top-N Collaborative Filtering Recommendation Algorithm Based...
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14th International Conference on knowledge Management in Organizations (KMO) - Synergistic Role of knowledge Management in Organization
作者: Zhu, Ming Zhen, De-sheng Tao, Ran Shi, You-qun Feng, Xiang-yang Wang, Qian Donghua Univ Sch Comp Sci & Technol Shanghai 201620 Peoples R China
The traditional collaborative filtering recommendation algorithm only uses the item-user rating matrix without considering the semantic information of the item itself, resulting in a problem that the recommendation ac... 详细信息
来源: 评论