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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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Fast Knowledge Graph Completion using Graphics Processing Units [PDF]
Journal of Parallel and Distributed Computing, 2023 Knowledge graphs can be used in many areas related to data semantics such as question-answering systems, knowledge based systems. However, the currently constructed knowledge graphs need to be complemented for better knowledge in terms of relations. It is called knowledge graph completion.
Chun-Hee Lee +2 more
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Knowledge Graph Completion: A Review [PDF]
IEEE Access, 2020 Knowledge graph completion (KGC) is a hot topic in knowledge graph construction and related applications, which aims to complete the structure of knowledge graph by predicting the missing entities or relationships in knowledge graph and mining unknown ...
Zhe Chen +5 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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Few-Shot Knowledge Graph Completion [PDF]
Proceedings of the AAAI Conference on Artificial Intelligence, 2019 Knowledge graphs (KGs) serve as useful resources for various natural language processing applications. Previous KG completion approaches require a large number of training instances (i.e., head-tail entity pairs) for every relation. The real case is that
Chuxu Zhang +5 more
semanticscholar +4 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
doaj +2 more sources
Semantic-Enhanced Knowledge Graph Completion
MathematicsKnowledge graphs (KGs) serve as structured representations of knowledge, comprising entities and relations. KGs are inherently incomplete, sparse, and have a strong need for completion.
Xu Yuan +6 more
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Relational Learning with Gated and Attentive Neighbor Aggregator for Few-Shot Knowledge Graph Completion [PDF]
Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, 2021 Aiming at expanding few-shot relations' coverage in knowledge graphs (KGs), few-shot knowledge graph completion (FKGC) has recently gained more research interests.
Guanglin Niu +9 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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Path-based knowledge reasoning with textual semantic information for medical knowledge graph completion [PDF]
BMC Med Inform Decis Mak, 2021 Yinyu Lan +5 more
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