A type-augmented knowledge graph embedding framework for knowledge graph completion [PDF]
Scientific Reports, 2023 Knowledge graphs (KGs) are of great importance to many artificial intelligence applications, but they usually suffer from the incomplete problem.
Peng He +4 more
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A Review of Knowledge Graph Completion
Information, 2022 Information extraction methods proved to be effective at triple extraction from structured or unstructured data. The organization of such triples in the form of (head entity, relation, tail entity) is called the construction of Knowledge Graphs (KGs ...
Mohamad Zamini +2 more
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Tuck-KGC: based on tensor decomposition for diabetes knowledge graph completion model integrating Chinese and Western medicine [PDF]
PeerJ Computer ScienceThe medical knowledge graph is essential for intelligent medical services, encompassing personalized diagnostics, precision therapies, and intelligent consultations, among others.
Jiangtao ZhangSun +4 more
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A Survey on Multimodal Knowledge Graphs: Construction, Completion and Applications
Mathematics, 2023 As an essential part of artificial intelligence, a knowledge graph describes the real-world entities, concepts and their various semantic relationships in a structured way and has been gradually popularized in a variety practical scenarios.
Yong Chen +5 more
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Relation-aware context aggregation framework for sparse knowledge graph completion [PDF]
Scientific ReportsThe task of knowledge graph completion (KGC) is to infer missing links that exist between entities in knowledge graphs (KGs). However, real-world KGs are typically structurally sparse, resulting in insufficient neighborhood context and thus degraded KGC ...
Shaoyun Guan, Xuena Han
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ShallowBKGC: a BERT-enhanced shallow neural network model for knowledge graph completion [PDF]
PeerJ Computer ScienceKnowledge graph completion aims to predict missing relations between entities in a knowledge graph. One of the effective ways for knowledge graph completion is knowledge graph embedding.
Ningning Jia, Cuiyou Yao
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Drug repurposing for COVID-19 via knowledge graph completion. [PDF]
J Biomed Inform, 2021 Zhang R +5 more
europepmc +2 more sources
Adaptive Attention-based Knowledge Graph Completion [PDF]
Jisuanji kexue, 2022 Existing knowledge graph completion models learn a single static feature representation for entities and relationships by integrating multi-source information.But they can't represent the subtle meaning and dynamic attributes of entities and ...
WANG Jie, LI Xiao-nan, LI Guan-yu
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Survey on Inductive Learning for Knowledge Graph Completion [PDF]
Jisuanji kexue yu tansuo, 2023 Knowledge graph completion can make knowledge graph more complete. However, traditional knowledge graph completion methods assume that all test entities and relations appear in the training process.
LIANG Xinyu, SI Guannan, LI Jianxin, TIAN Pengxin, AN Zhaoliang, ZHOU Fengyu
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QubitE:Qubit Embedding for Knowledge Graph Completion [PDF]
Jisuanji kexue, 2023 The knowledge graph completion task completes the knowledge graph by predicting missing facts in the knowledge graph.The quantum-based knowledge graph embedding(KGE) model uses variational quantum circuits to score triples by mea-suring the probability ...
LIN Xueyuan, E Haihong , SONG Wenyu, LUO Haoran, SONG Meina
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