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Capturing the composition patterns of relations is a vital task in knowledge graph completion.
Tucker: Tensor factorization for knowledge graph completion
Ivana Balažević, Carl Allen, and Timothy M Hospedales. 2019 · 1901
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Ernie: Enhanced language representation with informative entities
Zhengyan Zhang, Xu Han, Zhiyuan Liu, Xin Jiang, Maosong Sun, and Qun Liu. 2019b · 1905
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Relation embedding with dihedral group in knowledge graph
Canran Xu and Ruijiang Li. 2019 · 1906
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Wordnet: a lexical database for english
George A Miller. 1995 · 1995
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A survey on knowledge graphs: Representation, acquisition and applications
Shaoxiong Ji, Shirui Pan, Erik Cambria, Pekka Marttinen, and Philip S Yu. 2020 · 2002
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A three-way model for collective learning on multi-relational data
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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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Yago3: A knowledge base from multilingual wikipedias
Farzaneh Mahdisoltani, Joanna Biega, and Fabian M Suchanek. 2013 · 2013
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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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Holographic embeddings of knowledge graphs
Maximilian Nickel, Lorenzo Rosasco, and Tomaso Poggio. 2016 · 2016
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A novel embedding model for knowledge base completion based on convolutional neural network
Dai Quoc Nguyen, Tu Dinh Nguyen, Dat Quoc Nguyen, and Dinh Phung. 2017 · 2017
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Yanjie Wang, Rainer Gemulla, and Hui Li. 2017 · 2017
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Convolutional 2d knowledge graph embeddings
Tim Dettmers, Pasquale Minervini, Pontus Stenetorp, and Sebastian Riedel. 2018 · 2018
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Canonical tensor decomposition for knowledge base completion
Timothée Lacroix, Nicolas Usunier, and Guillaume Obozinski. 2018 · 2018
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Learning attention-based embeddings for relation prediction in knowledge graphs
Deepak Nathani, Jatin Chauhan, Charu Sharma, and Manohar Kaul. 2019 · 2019
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You can teach an old dog new tricks! on training knowledge graph embeddings
Daniel Ruffinelli, Samuel Broscheit, and Rainer Gemulla. 2019 · 2019
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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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Enhancing pre-trained language representations with rich knowledge for machine reading comprehension
An Yang, Quan Wang, Jing Liu, Kai Liu, Yajuan Lyu, Hua Wu, Qiaoqiao She, and Sujian Li. 2019 · 2019
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Rotate3d: Representing relations as rotations in three-dimensional space for knowledge graph embedding
Chang Gao, Chengjie Sun, Lili Shan, Lei Lin, and Mingjiang Wang. 2020 · 2020
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Yanjie Wang, Daniel Ruffinelli, Rainer Gemulla, Samuel Broscheit, and Christian Meilicke. 2018 · 2018
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Quaternions
Yan-Bin Jia. 2019 · 2019
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Observed versus latent features for knowledge base and text inference
Kristina Toutanova and Danqi Chen. 2015a
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Observed versus latent features for knowledge base and text inference
Kristina Toutanova and Danqi Chen. 2015b
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Complex embeddings for simple link prediction
Théo Trouillon, Johannes Welbl, Sebastian Riedel, Éric Gaussier, and Guillaume Bouchard. 2016b
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Nage: Non-abelian group embedding for knowledge graphs
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Complex embeddings for simple link prediction
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