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Concepts, which represent a group of different instances sharing common properties, are essential information in knowledge representation.
Natural categories
Eleanor H. Rosch. 1973 · 1973
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Wordnet: a lexical database for english
George A Miller. 1995 · 1995
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Yago: a core of semantic knowledge
Fabian M Suchanek, Gjergji Kasneci, and Gerhard Weikum. 2007 · 2007
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Freebase: a collaboratively created graph database for structuring human knowledge
Kurt Bollacker, Colin Evans, Praveen Paritosh, Tim Sturge, and Jamie Taylor. 2008 · 2008
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A three-way model for collective learning on multi-relational data
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How to grow a mind: Statistics, structure, and abstraction
Joshua B Tenenbaum, Charles Kemp, Thomas L Griffiths, and Noah D Goodman. 2011 · 2011
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Translating embeddings for modeling multi-relational data
Antoine Bordes, Nicolas Usunier, Alberto Garcia-Duran, Jason Weston, and Oksana Yakhnenko. 2013 · 2013
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Distributed representations of words and phrases and their compositionality
Tomas Mikolov, Ilya Sutskever, Kai Chen, Greg S Corrado, and Jeff Dean. 2013 · 2013
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Reasoning with neural tensor networks for knowledge base completion
Richard Socher, Danqi Chen, Christopher D Manning, and Andrew Ng. 2013 · 2013
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Knowledge graph embedding by translating on hyperplanes
Zhen Wang, Jianwen Zhang, Jianlin Feng, and Zheng Chen. 2014 · 2014
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Embedding entities and relations for learning and inference in knowledge bases
Bishan Yang, Wen-tau Yih, Xiaodong He, Jianfeng Gao, and Li Deng. 2014 · 2014
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Learning to represent knowledge graphs with gaussian embedding
Shizhu He, Kang Liu, Guoliang Ji, and Jun Zhao. 2015 · 2015
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Knowledge graph embedding via dynamic mapping matrix
Guoliang Ji, Shizhu He, Liheng Xu, Kang Liu, and Jun Zhao. 2015 · 2015
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Knowledge graph embedding by flexible translation
Jun Feng, Minlie Huang, Mingdong Wang, Mantong Zhou, Yu Hao, and Xiaoyan Zhu. 2016 · 2016
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Jointly embedding knowledge graphs and logical rules
Shu Guo, Quan Wang, Lihong Wang, Bin Wang, and Li Guo. 2016 · 2016
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Knowledge graph completion with adaptive sparse transfer matrix
Guoliang Ji, Kang Liu, Shizhu He, and Jun Zhao. 2016 · 2016
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Holographic embeddings of knowledge graphs
Maximilian Nickel, Lorenzo Rosasco, Tomaso A Poggio, et al. 2016 · 2016
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Complex embeddings for simple link prediction
Théo Trouillon, Johannes Welbl, Sebastian Riedel, Éric Gaussier, and Guillaume Bouchard. 2016 · 2016
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Text-enhanced representation learning for knowledge graph
Zhigang Wang and Juan-Zi Li. 2016 · 2016
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Tim Rocktäschel, Sameer Singh, and Sebastian Riedel. 2015 · 2015
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Knowledge base completion using embeddings and rules
Quan Wang, Bin Wang, and Li Guo. 2015 · 2015
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Modeling relation paths for representation learning of knowledge bases
Yankai Lin, Zhiyuan Liu, Huanbo Luan, Maosong Sun, Siwei Rao, and Song Liu. 2015a
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Learning entity and relation embeddings for knowledge graph completion
Yankai Lin, Zhiyuan Liu, Maosong Sun, Yang Liu, and Xuan Zhu. 2015b
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Knowledge graph embedding: A survey of approaches and applications
Quan Wang, Zhendong Mao, Bin Wang, and Li Guo
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From one point to a manifold: knowledge graph embedding for precise link prediction
Han Xiao, Minlie Huang, and Xiaoyan Zhu. 2016a
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Transg: A generative model for knowledge graph embedding
Han Xiao, Minlie Huang, and Xiaoyan Zhu. 2016b
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Representation learning of knowledge graphs with entity descriptions
Ruobing Xie, Zhiyuan Liu, Jia Jia, Huanbo Luan, and Maosong Sun. 2016 · 2016
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