Results 31 to 40 of about 468,662 (346)
Tucker decomposition-based temporal knowledge graph completion [PDF]
Knowledge-Based Systems, 2022 Knowledge graphs have been demonstrated to be an effective tool for numerous intelligent applications. However, a large amount of valuable knowledge still exists implicitly in the knowledge graphs. To enrich the existing knowledge graphs, recent years witness that many algorithms for link prediction and knowledge graphs embedding have been designed to ...
Shao, Pengpeng +5 more
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Representing a Heterogeneous Pharmaceutical Knowledge-Graph with Textual Information
Frontiers in Research Metrics and Analytics, 2021 We deal with a heterogeneous pharmaceutical knowledge-graph containing textual information built from several databases. The knowledge graph is a heterogeneous graph that includes a wide variety of concepts and attributes, some of which are provided in ...
Masaki Asada +3 more
doaj +1 more source
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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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
doaj +1 more source
RAGAT: Relation Aware Graph Attention Network for Knowledge Graph Completion
IEEE Access, 2021 Knowledge graph completion (KGC) is the task of predicting missing links based on known triples for knowledge graphs. Several recent works suggest that Graph Neural Networks (GNN) that exploit graph structures achieve promising performance on KGC.
Xiyang Liu +3 more
doaj +1 more source
Sequence-to-Sequence Knowledge Graph Completion and Question Answering [PDF]
Annual Meeting of the Association for Computational Linguistics, 2022 Knowledge graph embedding (KGE) models represent each entity and relation of a knowledge graph (KG) with low-dimensional embedding vectors. These methods have recently been applied to KG link prediction and question answering over incomplete KGs (KGQA ...
Apoorv Saxena +2 more
semanticscholar +1 more source
Learning Entity and Relation Embeddings for Knowledge Graph Completion
AAAI Conference on Artificial Intelligence, 2015 Knowledge graph completion aims to perform link prediction between entities. In this paper, we consider the approach of knowledge graph embeddings.
Yankai Lin +4 more
semanticscholar +1 more source
Two-View Graph Neural Networks for Knowledge Graph Completion
, 2023 To appear in Proceedings of ESWC 2023; 17 pages; 4 tables; 4 ...
Tong, Vinh +3 more
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Research About Knowledge Graph Completion Based on Active Learning
Jisuanji kexue yu tansuo, 2020 Knowledge graph completion focuses on how to improve the missing information in knowledge graph. Knowledge graph completion task has many applications, for example, it can be applied to the knowledge graph of rail transit system to support the system ...
CHEN Qinkuang, CHEN Ke, WU Sai, SHOU Lidan, CHEN Gang
doaj +1 more source
Making Large Language Models Perform Better in Knowledge Graph Completion [PDF]
ACM Multimedia, 2023 Large language model (LLM) based knowledge graph completion (KGC) aims to predict the missing triples in the KGs with LLMs. However, research about LLM-based KGC fails to sufficiently harness LLMs' inference proficiencies, overlooking critical structural
Yichi Zhang +3 more
semanticscholar +1 more source