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We propose a simple yet effective embedding model to learn quaternion embeddings for entities and relations in knowledge graphs.
Visualizing data using t-SNE
Laurens van der Maaten and Geoffrey Hinton. 2008 · 2008
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Learning Structured Embeddings of Knowledge Bases. In AAAI . 301–306
Antoine Bordes, Jason Weston, Ronan Collobert, and Yoshua Bengio. 2011 · 2011
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Adaptive subgradient methods for online learning and stochastic optimization
John Duchi, Elad Hazan, and Yoram Singer. 2011 · 2011
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Translating Embeddings for Modeling Multi-relational Data. In NIPS . 2787–2795
Antoine Bordes, Nicolas Usunier, Alberto García-Durán, Jason Weston, and Oksana Yakhnenko. 2013 · 2013
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Reasoning With Neural Tensor Networks for Knowledge Base Completion. In NIPS . 926–934
Richard Socher, Danqi Chen, Christopher D Manning, and Andrew Ng. 2013 · 2013
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Knowledge Graph Embedding by Translating on Hyperplanes. In AAAI . 1112–1119
Zhen Wang, Jianwen Zhang, Jianlin Feng, and Zheng Chen. 2014 · 2014
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Knowledge Base Completion via Search-based Question Answering. In WWW . 515–526
Robert West, Evgeniy Gabrilovich, Kevin Murphy, Shaohua Sun, Rahul Gupta, and Dekang Lin. 2014 · 2014
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Learning Entity and Relation Embeddings for Knowledge Graph Completion. In AAAI . 2181–2187
Yankai Lin, Zhiyuan Liu, Maosong Sun, Yang Liu, and Xuan Zhu. 2015 · 2015
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Observed Versus Latent Features for Knowledge Base and Text Inference. In CVSC . 57–66
Kristina Toutanova and Danqi Chen. 2015 · 2015
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Embedding Entities and Relations for Learning and Inference in Knowledge Bases. In ICLR
Bishan Yang, Wen-tau Yih, Xiaodong He, Jianfeng Gao, and Li Deng. 2015 · 2015
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STransE: a novel embedding model of entities and relationships in knowledge bases. In NAACL-HLT . 460–466
Dat Quoc Nguyen, Kairit Sirts, Lizhen Qu, and Mark Johnson. 2016 · 2016
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Convolutional 2D Knowledge Graph Embeddings. In AAAI . 1811–1818
Tim Dettmers, Pasquale Minervini, Pontus Stenetorp, and Sebastian Riedel. 2018 · 2018
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TorusE: Knowledge graph embedding on a lie group. In AAAI . 1819–1826
Takuma Ebisu and Ryutaro Ichise. 2018 · 2018
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RotatE: Knowledge Graph Embedding by Relational Rotation in Complex Space. In ICLR
Zhiqing Sun, Zhi-Hong Deng, Jian-Yun Nie, and Jian Tang. 2019 · 2019
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Quaternion Knowledge Graph Embeddings. In NeurIPS . 2731–2741
Shuai Zhang, Yi Tay, Lina Yao, and Qi Liu. 2019 · 2019
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A Relational Memory-based Embedding Model for Triple Classification and Search Personalization. In ACL . 3429––3435
Dai Quoc Nguyen, Tu Dinh Nguyen, and Dinh Phung. 2020 · 2020
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AutoSF: Searching Scoring Functions for Knowledge Graph Embedding. In 2020 IEEE 36th International Conference on Data Engineering (ICDE) . 433–444
Y. Zhang, Q. Yao, W. Dai, and L. Chen. 2020 · 2020
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Representation Learning for Graph-Structured Data
Dai Quoc Nguyen. 2021 · 2021
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A Novel Embedding Model for Knowledge Base Completion Based on Convolutional Neural Network. In NAACL-HLT . 327–333
Dai Quoc Nguyen, Tu Dinh Nguyen, Dat Quoc Nguyen, and Dinh Phung. 2018 · 2018
Cited alongside, same era.
Multi-relational Poincaré graph embeddings. In NeurIPS . 4465–4475
Ivana Balažević, Carl Allen, and Timothy Hospedales. 2019 · 2019
Cited alongside, same era.
Convolutional Neural Network-based Model for Knowledge Base Completion and Its Application to Search Personalization
Dai Quoc Nguyen, Dat Quoc Nguyen, Tu Dinh Nguyen, and Dinh Phung. 2019 · 2019
Cited alongside, same era.
II. On Quaternions; or on a new System of Imaginaries in Algebra
William Rowan Hamilton. 1844
Cited in the paper.
Node Co-occurrence based Graph Neural Networks for Knowledge Graph Link Prediction. In Proceedings of WSDM 2022 (Demonstrations)
Dai Quoc Nguyen, Vinh Tong, Dinh Phung, and Dat Quoc Nguyen. 2022 · 2022
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Complex Embeddings for Simple Link Prediction. In ICML . 2071–2080
Théo Trouillon, Johannes Welbl, Sebastian Riedel, Éric Gaussier, and Guillaume Bouchard. 2016 · 2080
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