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The Knowledge Graph Completion~(KGC) task aims to infer the missing entity from an incomplete triple.
Wordnet: a lexical database for english
George A. Miller. 1995 · 1995
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Yago: A core of semantic knowledge
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Embedding entities and relations for learning and inference in knowledge bases
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Modeling Relational Data with Graph Convolutional Networks , pages 593–607
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Learning attention-based embeddings for relation prediction in knowledge graphs
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Rotate: Knowledge graph embedding by relational rotation in complex space
Zhiqing Sun, Zhi-Hong Deng, Jian-Yun Nie, and Jian Tang. 2019 · 2019
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Kg-bert: Bert for knowledge graph completion
Liang Yao, Chengsheng Mao, and Yuan Luo. 2019 · 2019
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Low-dimensional hyperbolic knowledge graph embeddings
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Graph neural networks: A review of methods and applications
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Mem-kgc: Masked entity model for knowledge graph completion with pre-trained language model
Bonggeun Choi, Daesik Jang, and Youngjoong Ko. 2021 · 2021
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Robust knowledge graph completion with stacked convolutions and a student re-ranking network
Justin Lovelace, Denis Newman-Griffis, Shikhar Vashishth, Jill Fain Lehman, and Carolyn Rosé. 2021 · 2021
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Compounding geometric operations for knowledge graph completion
Xiou Ge, Yun Cheng Wang, Bin Wang, and C.-C. Jay Kuo. 2023 · 2023
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Graph component contrastive learning for concept relatedness estimation
Yueen Ma, Zixing Song, Xuming Hu, Jingjing Li, Yifei Zhang, and Irwin King. 2023 · 2023
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Explainable claim verification via knowledge-grounded reasoning with large language models
Haoran Wang and Kai Shu. 2023 · 2023
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KICGPT: Large language model with knowledge in context for knowledge graph completion
Yanbin Wei, Qiushi Huang, Yu Zhang, and James Kwok. 2023 · 2023
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Rule Learning over Knowledge Graphs: A Review
Hong Wu, Zhe Wang, Kewen Wang, Pouya Ghiasnezhad Omran, and Jiangmeng Li. 2023 · 2023
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I know what you do not know: Knowledge graph embedding via co-distillation learning
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