Results 21 to 30 of about 92,161 (217)
Knowledge Graph Automatic Construction Model in Open Domain Based on Knowledge-Informed Graph Convolutional Neural Network [PDF]
Jisuanji gongcheng, 2022 Solving the problem of multi-source knowledge alignment and knowledge redundancy is the key to automatically build a knowledge graph in the open data domain.To solve this problem, an automatic knowledge graph construction model that combines knowledge ...
SUN Yaru, YANG Ying, WANG Yongjian
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Scene Graph Generation Model Combined with External Knowledge Base and Adaptive Reasoning [PDF]
Jisuanji gongcheng, 2022 To obtain better contextual information in the Scene Graph Generation(SGG) network while reducing the impact of dataset bias, this study proposes a SGG model based on an external knowledge base and adaptive reasoning.First, the proposed model uses a ...
WANG Yini, GAO Yongbin, WAN Weibing, YANG Shuqun, GUO Ruyan
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A Knowledge Graph Embedding Model Based on Cyclic Consistency—Cyclic_CKGE
Applied Sciences, 2023 Most of the existing medical knowledge maps are incomplete and need to be completed/predicted to obtain a complete knowledge map. To solve this problem, we propose a knowledge graph embedding model (Cyclic_CKGE) based on cyclic consistency.
Jialong Li +4 more
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A Novel Joint Extraction Model for Entity Relations Using Interactive Encoding and Visual Attention
IEEE Access, 2023 Relationship extraction is a fundamental task in natural language processing, with applications ranging from knowledge graph construction to information retrieval. Existing entity-relationship joint extraction models have made significant strides in this
Youren Yu +3 more
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Access control relationship prediction method based on GNN dual source learning
网络与信息安全学报, 2022 With the rapid development and wide application of big data technology, users’ unauthorized access to resources becomes one of the main problems that restrict the secure sharing and controlled access to big data resources.The ReBAC (Relationship-Based ...
Dibin SHAN, Xuehui DU, Wenjuan WANG, Aodi LIU, Na WANG
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Joint Extraction Method for Chinese Entity Relationship Based on Bidirectional Semantics [PDF]
Jisuanji gongcheng, 2023 Existing Chinese entity relationship extraction methods typically use the semantic features of one-way relationships between entities for relationship extraction.However, using only one-way semantic features cannot fully utilize the semantic ...
YU Keqiang, HUANG Fang, WU Qi, OUYANG Yang
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Applied Sciences, 2023 Relationship extraction is a crucial step in the construction of a knowledge graph. In this research, the grid field entity relationship extraction was performed via a labeling approach that used span representation.
Qi Meng +4 more
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Knowledge Graph Completion Based on Half-Edge Principle [PDF]
Jisuanji gongcheng, 2020 Existing knowledge graph completion algorithms are time-consuming and inaccurate.To address these problems,this paper proposes a multi-layer convolution model based on half-edge.The model introduces the half-edge principle,and uses the descriptive ...
CHENG Tao, CHEN Heng, LI Guanyu
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Medical Entity Relation Recognition Combining Bidirectional GRU and Attention [PDF]
Jisuanji gongcheng, 2020 Most of existing methods for entity relationship recognition take a single sentence as processing unit,and fail to address tagging errors of entity relationships in the training corpus.Also,they cannot make full use of the mutual reinforcement of ...
ZHANG Zhichang, ZHOU Tong, ZHANG Ruifang, ZHANG Minyu
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Entity Alignment Based on Dynamic Graph Attention and Label Propagation [PDF]
Jisuanji gongchengEntity alignment is an effective approach for multi-source database fusion with the aim of identifying co-referring entities in multi-source knowledge graphs. Recently, Graph Convolutional Network (GCN) have emerged as a new paradigm for entity alignment
MO Shaocong, CHEN Qingfeng, XIE Ze, LIU Chunyu, QIU Junlai
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