Results 11 to 20 of about 8,119,426 (288)
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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Temporal Knowledge Graph Completion: A Survey [PDF]
Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023 Knowledge graph completion (KGC) predicts missing links and is crucial for real-life knowledge graphs, which widely suffer from incompleteness. KGC methods assume a knowledge graph is static, but that may lead to inaccurate prediction results because many facts in the knowledge graphs change over time.
Borui Cai +5 more
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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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Generative Transformer with Knowledge-Guided Decoding for Academic Knowledge Graph Completion
Mathematics, 2023 Academic knowledge graphs are essential resources and can be beneficial in widespread real-world applications. Most of the existing academic knowledge graphs are far from completion; thus, knowledge graph completion—the task of extending a knowledge ...
Xiangwen Liu +3 more
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Big Data Mining and AnalyticsThe objective of knowledge graph completion is to comprehend the structure and inherent relationships of domain knowledge, thereby providing a valuable foundation for knowledge reasoning and analysis.
Wenying Guo +5 more
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Abnormal Entity-Aware Knowledge Graph Completion
2022 IEEE International Conference on Data Mining Workshops (ICDMW), 2022 In real-world scenarios, knowledge graphs remain incomplete and contain abnormal information, such as redundan-cies, contradictions, inconsistencies, misspellings, and abnormal values. These shortcomings in the knowledge graphs potentially affect service
Ke Sun 0011 +5 more
openaire +3 more sources
Progressive Knowledge Graph Completion [PDF]
CoRRKnowledge Graph Completion (KGC) has emerged as a promising solution to address the issue of incompleteness within Knowledge Graphs (KGs). Traditional KGC research primarily centers on triple classification and link prediction. Nevertheless, we contend that these tasks do not align well with real-world scenarios and merely serve as surrogate benchmarks.
Jiayi Li 0002 +4 more
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Two-View Graph Neural Networks for Knowledge Graph Completion [PDF]
, 2023 To appear in Proceedings of ESWC 2023; 17 pages; 4 tables; 4 ...
Vinh Tong +3 more
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Knowledge Graph Completion With Pattern-Based Methods
IEEE AccessKnowledge graphs (KGs) are popularly used to develop several intelligent applications. Revealing valuable knowledge hidden in these graphs opened up a branch of research, known as KG reasoning, aiming at predicting the missing links.
Maryam Sabet +2 more
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Assessing LLMs Suitability for Knowledge Graph Completion [PDF]
Recent work has shown the capability of Large Language Models (LLMs) to solve tasks related to Knowledge Graphs, such as Knowledge Graph Completion, even in Zero- or Few-Shot paradigms. However, they are known to hallucinate answers, or output results in a non-deterministic manner, thus leading to wrongly reasoned responses, even if they satisfy the ...
Vasile Ionut-Remus Iga +1 more
core +5 more sources