Fetching the paper…
Reading the bibliography…
Knowledge Graph embedding provides a versatile technique for representing knowledge.
Rotate: Knowledge graph embedding by relational rotation in complex space
Zhiqing Sun, Zhi-Hong Deng, Jian-Yun Nie, and Jian Tang. 2019a · 1902
Earlier work this paper cites.
Learning hierarchy-aware knowledge graph embeddings for link prediction
Zhanqiu Zhang, Jianyu Cai, Yongdong Zhang, and Jie Wang. 2019 · 1911
Earlier work this paper cites.
The Semantic Web A new form of Web content that is meaningful to computers will unleash a revolution of new possibilities
Tim Berners-Lee, James Hendler, and Ora Lassila. 2001 · 2001
Earlier work this paper cites.
Knowledge graph embeddings and explainable ai
F. Bianchi, G. Rossiello, Luca Costabello, M. Palmonari, and Pasquale Minervini. 2020 · 2004
Earlier work this paper cites.
Toward the next generation of recommender systems: A survey of the state-of-the-art and possible extensions
Gediminas Adomavicius and Alexander Tuzhilin. 2005 · 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.
Tensor decompositions and applications
Tamara G Kolda and Brett W Bader. 2009 · 2009
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.
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, and Christian Bizer. 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
Earlier work this paper cites.
Reasoning with neural tensor networks for knowledge base completion
Richard Socher, Danqi Chen, Christopher D Manning, and Andrew Ng. 2013 · 2013
Earlier work this paper cites.
A semantic matching energy function for learning with multi-relational data: Application to word-sense disambiguation
Antoine Bordes, Xavier Glorot, Jason Weston, and Yoshua Bengio. 2014 · 2014
Earlier work this paper cites.
Effective blending of two and three-way interactions for modeling multi-relational data
Alberto García-Durán, Antoine Bordes, and Nicolas Usunier. 2014 · 2014
Cited alongside, same era.
Deep learning of knowledge graph embeddings for semantic parsing of Twitter dialogs
Larry Heck and Hongzhao Huang. 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, J. Zhang, Jianlin Feng, and Z. 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: A survey of approaches and applications
Quan Wang, Zhendong Mao, Bin Wang, and Li Guo. 2017 · 2017
Later among the works it cites.
Knowledge graphs: New directions for knowledge representation on the semantic web (dagstuhl seminar 18371)
P. Bonatti, S. Decker, A. Polleres, and V. Presutti. 2018 · 2018
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.
Entity-duet neural ranking: Understanding the role of knowledge graph semantics in neural information retrieval
Zhenghao Liu, Chenyan Xiong, Maosong Sun, and Zhiyuan Liu. 2018 · 2018
Later among the works it cites.
Ripplenet
Hongwei Wang, Fuzheng Zhang, Jialin Wang, Miao Zhao, Wenjie Li, Xing Xie, and Minyi Guo. 2018 · 2018
Later among the works it cites.
Special issue on knowledge graphs and semantics in text analysis and retrieval
alphaXiv searches the wider corpus for related work and actual follow-ups.
alphaXiv is searching for related work…
Guillaume Bouchard, Sameer Singh, and Théo Trouillon. 2015 · 2015
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.
Jointly embedding knowledge graphs and logical rules
Shu Guo, Quan Wang, Lihong Wang, Bin Wang, and Li Guo. 2016 · 2016
Cited alongside, same era.
Compositional learning of embeddings for relation paths in knowledge bases and text
Kristina Toutanova, Xi Victoria Lin, Wen Tau Yih, Hoifung Poon, and Chris Quirk. 2016 · 2016
Cited alongside, same era.
Complex embeddings for simple link prediction
Théo Trouillon, Johannes Welbl, Sebastian Riedel, Éric Gaussier, and Guillaume Bouchard. 2016 · 2016
Cited alongside, same era.
Analogical inference for multi-relational embeddings
Hanxiao Liu, Yuexin Wu, and Yiming Yang. 2017 · 2017
Cited alongside, same era.
Laura Dietz, Chenyan Xiong, Jeff Dalton, and Edgar Meij. 2019 · 2019
Later among the works it cites.
MMGCN: Multi-modal graph convolution network for personalized recommendation of micro-video
Yinwei Wei, Xiangnan He, Xiang Wang, Richang Hong, Liqiang Nie, and Tat Seng Chua. 2019 · 2019
Later among the works it cites.
A survey on knowledge graph-based recommender systems
Q. Guo, F. Zhuang, C. Qin, H. Zhu, X. Xie, H. Xiong, and Q. He. 2020 · 2020
Later among the works it cites.
A survey on knowledge graphs: Representation, acquisition and applications
Shaoxiong Ji, Shirui Pan, Erik Cambria, Pekka Marttinen, and Philip S. Yu. 2020 · 2020
Later among the works it cites.
Utilizing Textual Information in Knowledge Graph Embedding: A Survey of Methods and Applications
Fengyuan Lu, Peijin Cong, and Xinli Huang. 2020 · 2020
Later among the works it cites.
Multi-modal Knowl-edge Graphs for Recommender Systems
Rui Sun, Xuezhi Cao, Yan Zhao, Junchen Wan, Kun Zhou, Fuzheng Zhang, Zhongyuan Wang, and Kai Zheng. 2020 · 2020
Later among the works it cites.
A survey of word embeddings based on deep learning
Shirui Wang, Wenan Zhou, and Chao Jiang. 2020 · 2020
Later among the works it cites.
Knowledge graph embedding for link prediction
Andrea Rossi, Denilson Barbosa, Donatella Firmani, Antonio Matinata, and Paolo Merialdo. 2021 · 2021
Closest in time.