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Knowledge graph (KG) embedding is widely used in many downstream applications using KGs.
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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Composition-based multi-relational graph convolutional networks
Shikhar Vashishth, Soumya Sanyal, Vikram Nitin, and Partha Talukdar. 2019 · 1911
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Least squares quantization in pcm
Stuart Lloyd. 1982 · 1982
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Wordnet: a lexical database for english
George A Miller. 1995 · 1995
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Dbpedia: A nucleus for a web of open data
Sören Auer, Christian Bizer, Georgi Kobilarov, Jens Lehmann, Richard Cyganiak, and Zachary Ives. 2007 · 2007
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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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Structure aware negative sampling in knowledge graphs
Kian Ahrabian, Aarash Feizi, Yasmin Salehi, William L Hamilton, and Avishek Joey Bose. 2020 · 2009
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A three-way model for collective learning on multi-relational data
Maximilian Nickel, Volker Tresp, and Hans-Peter Kriegel. 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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Generative adversarial nets
Ian Goodfellow, Jean Pouget-Abadie, Mehdi Mirza, Bing Xu, David Warde-Farley, Sherjil Ozair, Aaron Courville, and Yoshua Bengio. 2014 · 2014
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Adam: A method for stochastic optimization
Diederik P Kingma and Jimmy Ba. 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
Guoliang Ji, Shizhu He, Liheng Xu, Kang Liu, and Jun Zhao. 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.
Knowledge graph embedding based question answering
Xiao Huang, Jingyuan Zhang, Dingcheng Li, and Ping Li. 2019 · 2019
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Kgat: Knowledge graph attention network for recommendation
Xiang Wang, Xiangnan He, Yixin Cao, Meng Liu, and Tat-Seng Chua. 2019 · 2019
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Nscaching: simple and efficient negative sampling for knowledge graph embedding
Yongqi Zhang, Quanming Yao, Yingxia Shao, and Lei Chen. 2019 · 2019
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Improving multi-hop question answering over knowledge graphs using knowledge base embeddings
Apoorv Saxena, Aditay Tripathi, and Partha Talukdar. 2020 · 2020
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Interacte: Improving convolution-based knowledge graph embeddings by increasing feature interactions
Shikhar Vashishth, Soumya Sanyal, Vikram Nitin, Nilesh Agrawal, and Partha Talukdar. 2020 · 2020
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Observed versus latent features for knowledge base and text inference
Kristina Toutanova and Danqi Chen. 2015 · 2015
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Kbgan: Adversarial learning for knowledge graph embeddings
Liwei Cai and William Yang Wang. 2017 · 2017
Cited alongside, same era.
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
Cited alongside, same era.
Convolutional 2d knowledge graph embeddings
Tim Dettmers, Pasquale Minervini, Pontus Stenetorp, and Sebastian Riedel. 2018 · 2018
Cited alongside, same era.
Incorporating gan for negative sampling in knowledge representation learning
Peifeng Wang, Shuangyin Li, and Rong Pan. 2018 · 2018
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Learning over knowledge-base embeddings for recommendation
Yongfeng Zhang, Qingyao Ai, Xu Chen, and Pengfei Wang. 2018 · 2018
Cited alongside, same era.
Diverse and informative dialogue generation with context-specific commonsense knowledge awareness
Sixing Wu, Ying Li, Dawei Zhang, Yang Zhou, and Zhonghai Wu. 2020 · 2020
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Product knowledge graph embedding for e-commerce
Da Xu, Chuanwei Ruan, Evren Korpeoglu, Sushant Kumar, and Kannan Achan. 2020 · 2020
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Kg-bart: Knowledge graph-augmented bart for generative commonsense reasoning
Ye Liu, Yao Wan, Lifang He, Hao Peng, and Philip S Yu. 2021 · 2021
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Stay positive: Knowledge graph embedding without negative sampling
Ainaz Hajimoradlou and Mehran Kazemi. 2022 · 2022
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Dense: An enhanced non-commutative representation for knowledge graph embedding with adaptive semantic hierarchy
Haonan Lu, Hailin Hu, and Xiaodong Lin. 2022 · 2022
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Complex embeddings for simple link prediction
Théo Trouillon, Johannes Welbl, Sebastian Riedel, Éric Gaussier, and Guillaume Bouchard. 2016 · 2080
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