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Explaining Completions Produced by Embeddings of Knowledge Graphs
2019Advanced question answering typically employs large-scale knowledge bases such as DBpedia or Freebase, and are often based on mappings from entities to real-valued vectors. These mappings, called embeddings, are accurate but very hard to explain to a human subject.
Andrey Ruschel +3 more
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Hyper-node Relational Graph Attention Network for Multi-modal Knowledge Graph Completion
ACM Transactions on Multimedia Computing, Communications and Applications, 2023Shuang Liang +2 more
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Multi-relational knowledge graph completion method with local information fusion
Applied Intelligence, 2021Jin Huang, Tian Lu, Jia Zhu
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GRL: Knowledge graph completion with GAN-based reinforcement learning
Knowledge-Based Systems, 2020Qi Ｗang, Yuede Ji, Yongsheng Hao
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Schema aware iterative Knowledge Graph completion
Web Semantics, 2020Kemas Wiharja, Jeff Z Pan, Yu Deng
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Graph attention network with dynamic representation of relations for knowledge graph completion
Expert Systems With Applications, 2023Chunxia Zhang, Xindong Wu, Xin Zhang
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Knowledge Graphs for Textbooks: Extraction and Completion Techniques
2023 IEEE Sixth International Conference on Artificial Intelligence and Knowledge Engineering (AIKE), 2023Yutong Yao +2 more
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GAFM: A Knowledge Graph Completion Method Based on Graph Attention Faded Mechanism
Information Processing and Management, 2022Jiangtao Ma +2 more
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A knowledge graph completion model integrating entity description and network structure
Aslib Journal of Information Management, 2023Chuanming Yu
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