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Translation-based knowledge graph embedding has been one of the most important branches for knowledge representation learning since TransE came out.
Rotate: Knowledge graph embedding by relational rotation in complex space
Zhiqing Sun, Zhi-Hong Deng, Jian-Yun Nie, and Jian Tang. 2019 · 1902
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Orthogonal relation transforms with graph context modeling for knowledge graph embedding
Yun Tang, Jing Huang, Guangtao Wang, Xiaodong He, and Bowen Zhou. 2019 · 1911
Earlier work this paper cites.
Principal components analysis
George H Dunteman. 1989 · 1989
Earlier work this paper cites.
Wordnet: a lexical database for english
George A Miller. 1995 · 1995
Earlier work this paper cites.
Seek: Segmented embedding of knowledge graphs
Wentao Xu, Shun Zheng, Liang He, Bin Shao, Jian Yin, and Tie-Yan Liu. 2020 · 2005
Earlier work this paper cites.
Yago: a core of semantic knowledge
Fabian M Suchanek, Gjergji Kasneci, and Gerhard Weikum. 2007 · 2007
Earlier work this paper cites.
Freebase: a collaboratively created graph database for structuring human knowledge
Kurt Bollacker, Colin Evans, Praveen Paritosh, Tim Sturge, and Jamie Taylor. 2008 · 2008
Earlier work this paper cites.
Pairre: Knowledge graph embeddings via paired relation vectors
Linlin Chao, Jianshan He, Taifeng Wang, and Wei Chu. 2020 · 2011
Earlier work this paper cites.
A three-way model for collective learning on multi-relational data
Maximilian Nickel, Volker Tresp, and Hans-Peter Kriegel. 2011 · 2011
Earlier work this paper cites.
Entity disambiguation with freebase
Zhicheng Zheng, Xiance Si, Fangtao Li, Edward Y Chang, and Xiaoyan Zhu. 2012 · 2012
Earlier work this paper cites.
Semantic parsing on freebase from question-answer pairs
Jonathan Berant, Andrew Chou, Roy Frostig, and Percy Liang. 2013 · 2013
Earlier work this paper cites.
Translating embeddings for modeling multi-relational data
Antoine Bordes, Nicolas Usunier, Alberto Garcia-Duran, Jason Weston, and Oksana Yakhnenko. 2013 · 2013
Cited alongside, same era.
Open question answering with weakly supervised embedding models
Antoine Bordes, Jason Weston, and Nicolas Usunier. 2014 · 2014
Cited alongside, same era.
Wikidata: a free collaborative knowledgebase
Denny Vrandečić and Markus Krötzsch. 2014 · 2014
Cited alongside, same era.
Knowledge graph embedding by translating on hyperplanes
Zhen Wang, Jianwen Zhang, Jianlin Feng, and Zheng Chen. 2014 · 2014
Cited alongside, same era.
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
Cited alongside, same era.
Knowledge graph embedding via dynamic mapping matrix
Neural message passing for quantum chemistry
Justin Gilmer, Samuel S Schoenholz, Patrick F Riley, Oriol Vinyals, and George E Dahl. 2017 · 2017
Later among the works it cites.
Convolutional 2d knowledge graph embeddings
Tim Dettmers, Pasquale Minervini, Pontus Stenetorp, and Sebastian Riedel. 2018 · 2018
Later among the works it cites.
Simple embedding for link prediction in knowledge graphs
Seyed Mehran Kazemi and David Poole. 2018 · 2018
Later among the works it cites.
Translating embeddings for knowledge graph completion with relation attention mechanism
Wei Qian, Cong Fu, Yu Zhu, Deng Cai, and Xiaofei He. 2018 · 2018
Later among the works it cites.
Modeling relational data with graph convolutional networks
Michael Schlichtkrull, Thomas N Kipf, Peter Bloem, Rianne Van Den Berg, Ivan Titov, and Max Welling. 2018 · 2018
Later among the works it cites.
Open graph benchmark: Datasets for machine learning on graphs
Weihua Hu, Matthias Fey, Marinka Zitnik, Yuxiao Dong, Hongyu Ren, Bowen Liu, Michele Catasta, and Jure Leskovec. 2020 · 2020
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Guoliang Ji, Shizhu He, Liheng Xu, Kang Liu, and Jun Zhao. 2015 · 2015
Cited alongside, same era.
Dbpedia–a large-scale, multilingual knowledge base extracted from wikipedia
Jens Lehmann, Robert Isele, Max Jakob, Anja Jentzsch, Dimitris Kontokostas, Pablo N Mendes, Sebastian Hellmann, Mohamed Morsey, Patrick Van Kleef, Sören Auer, et al. 2015 · 2015
Cited alongside, same era.
Learning entity and relation embeddings for knowledge graph completion
Yankai Lin, Zhiyuan Liu, Maosong Sun, Yang Liu, and Xuan Zhu. 2015 · 2015
Cited alongside, same era.
Observed versus latent features for knowledge base and text inference
Kristina Toutanova and Danqi Chen. 2015 · 2015
Cited alongside, same era.
Semi-supervised classification with graph convolutional networks
Thomas N Kipf and Max Welling. 2016 · 2016
Cited alongside, same era.
Holographic embeddings of knowledge graphs
Maximilian Nickel, Lorenzo Rosasco, and Tomaso Poggio. 2016 · 2016
Cited alongside, same era.
Knowledge graph reasoning with relational digraph
Yongqi Zhang and Quanming Yao
Cited in the paper.
Later among the works it cites.
Inductive relation prediction by subgraph reasoning
Komal Teru, Etienne Denis, and Will Hamilton. 2020 · 2020
Later among the works it cites.
Autosf: Searching scoring functions for knowledge graph embedding
Yongqi Zhang, Quanming Yao, Wenyuan Dai, and Lei Chen. 2020 · 2020
Later among the works it cites.
Relation prediction as an auxiliary training objective for improving multi-relational graph representations
Yihong Chen, Pasquale Minervini, Sebastian Riedel, and Pontus Stenetorp. 2021 · 2021
Later among the works it cites.
Nodepiece: Compositional and parameter-efficient representations of large knowledge graphs
Mikhail Galkin, Jiapeng Wu, Etienne Denis, and William L Hamilton. 2021 · 2021
Later among the works it cites.
Complex embeddings for simple link prediction
Théo Trouillon, Johannes Welbl, Sebastian Riedel, Éric Gaussier, and Guillaume Bouchard. 2016 · 2080
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