Fetching the paper…
Reading the bibliography…
Knowledge graphs are large, useful, but incomplete knowledge repositories.
Holographic Embeddings of Knowledge Graphs. In Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence
Maximilian Nickel, Lorenzo Rosasco, and Tomaso Poggio. 2016b · 1961
Earlier work this paper cites.
One-class classifier networks for target recognition applications. In Proc. of the World Congress on Neural Networks
M. Moya, M. Koch, and L Hostetler. 1993 · 1993
Earlier work this paper cites.
Contrastive estimation: Training log-linear models on unlabeled data. In Proceedings of the 43rd Annual Meeting on Association for Computational Linguistics
Noah A Smith and Jason Eisner. 2005 · 2005
Earlier work this paper cites.
YAGO: A Core of Semantic Knowledge. In Proceedings of the 16th International Conference on World Wide Web
Fabian M. Suchanek, Gjergji Kasneci, and Gerhard Weikum. 2007 · 2007
Earlier work this paper cites.
Adaptive importance sampling to accelerate training of a neural probabilistic language model
Yoshua Bengio and Jean-Sébastien Senécal. 2008 · 2008
Earlier work this paper cites.
Freebase: A Collaboratively Created Graph Database for Structuring Human Knowledge. In Proceedings of the 2008 ACM SIGMOD International Conference on Management of Data
Kurt Bollacker, Colin Evans, Praveen Paritosh, Tim Sturge, and Jamie Taylor. 2008 · 2008
Earlier work this paper cites.
Toward an Architecture for Never-Ending Language Learning. In AAAI
Andrew Carlson, Justin Betteridge, Bryan Kisiel, Burr Settles, Estevam R. Hruschka, and Tom M. Mitchell. 2010 · 2010
Earlier work this paper cites.
Noise-contrastive estimation: A new estimation principle for unnormalized statistical models. In Proceedings of the Thirteenth International Conference on Artificial Intelligence and Statistics
Michael Gutmann and Aapo Hyvärinen. 2010 · 2010
Earlier work this paper cites.
A Three-Way Model for Collective Learning on Multi-Relational Data. In ICML
Maximilian Nickel, Volker Tresp, and Hans-Peter Kriegel. 2011 · 2011
Earlier work this paper cites.
Random Search for Hyper-parameter Optimization
James Bergstra and Yoshua Bengio. 2012 · 2012
Earlier work this paper cites.
Noise-contrastive estimation of unnormalized statistical mod- els, with applications to natural image statistics
Michael Gutmann and Aapo Hyvarinen. 2012 · 2012
Cited alongside, same era.
A fast and simple algorithm for training neural probabilistic language models. In Proc. of ICML
Andriy Mnih and Yee Whye Teh. 2012 · 2012
Cited alongside, same era.
Factorizing YAGO: Scalable Machine Learning for Linked Data. In Proceedings of the 21st International Conference on World Wide Web
Maximilian Nickel, Volker Tresp, and Hans-Peter Kriegel. 2012 · 2012
Cited alongside, same era.
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.
Reasoning With Neural Tensor Networks for Knowledge Base Completion
Richard Socher, Danqi Chen, Christopher D Manning, and Andrew Ng. 2013 · 2013
Cited alongside, same era.
Traversing Knowledge Graphs in Vector Space. In Proceedings of the 2015 Conference on Empirical Methods in Natural Language Processing
Kelvin Guu, John Miller, and Percy Liang. 2015 · 2015
Later among the works it cites.
Learning Entity and Relation Embeddings for Knowledge Graph Completion. In Proceedings of the Twenty-Ninth AAAI Conference on Artificial Intelligence
Yankai Lin, Zhiyuan Liu, Maosong Sun, Yang Liu, and Xuan Zhu. 2015 · 2015
Later among the works it cites.
Compositional Vector Space Models for Knowledge Base Completion. In Proceedings of the 53rd Annual Meeting of the Association for Computational Linguistics and the 7th International Joint Conference on Natural Language Processing (Volume 1: Long Papers)
Arvind Neelakantan, Benjamin Roth, and Andrew McCallum. 2015 · 2015
Later among the works it cites.
A Review of Relational Machine Learning for Knowledge Graphs
M. Nickel, K. Murphy, V. Tresp, and E. Gabrilovich. 2016a · 2015
Later among the works it cites.
alphaXiv searches the wider corpus for related work and actual follow-ups.
alphaXiv is searching for related work…
Knowledge vault: a web-scale approach to probabilistic knowledge fusion. In KDD
Xin Dong, Evgeniy Gabrilovich, Geremy Heitz, Wilko Horn, Ni Lao, Kevin Murphy, Thomas Strohmann, Shaohua Sun, and Wei Zhang. 2014 · 2014
Cited alongside, same era.
Adam: A method for stochastic optimization
Diederik Kingma and Jimmy Ba. 2014 · 2014
Cited alongside, same era.
Knowledge Base Completion via Search-based Question Answering. In Proceedings of the 23rd International Conference on World Wide Web
Robert West, Evgeniy Gabrilovich, Kevin Murphy, Shaohua Sun, Rahul Gupta, and Dekang Lin. 2014 · 2014
Cited alongside, same era.
Knowledge-based Trust: Estimating the Trustworthiness of Web Sources
Xin Luna Dong, Evgeniy Gabrilovich, Kevin Murphy, Van Dang, Wilko Horn, Camillo Lugaresi, Shaohua Sun, and Wei Zhang. 2015 · 2015
Cited alongside, same era.
Efficient and Expressive Knowledge Base Completion Using Subgraph Feature Extraction. In Proceedings of the 2015 Conference on Empirical Methods in Natural Language Processing
Matt Gardner and Tom Mitchell. 2015 · 2015
Cited alongside, same era.
Embedding entities and relations for learning and inference in knowledge bases. In Proceedings of the 2015 International Conference on Representation Learning
Bishan Yang, Wen-tau Yih, Xiaodong He, Jianfeng Gao, and Li Deng. 2015 · 2015
Later among the works it cites.
Chains of Reasoning over Entities, Relations, and Text using Recurrent Neural Networks
Rajarshi Das, Arvind Neelakantan, David Belanger, and Andrew McCallum. 2016 · 2016
Later among the works it cites.
Key-Value Memory Networks for Directly Reading Documents. In Proceedings of the 2016 Conference on Empirical Methods in Natural Language Processing
Alexander Miller, Adam Fisch, Jesse Dodge, Amir-Hossein Karimi, Antoine Bordes, and Jason Weston. 2016 · 2016
Later among the works it cites.
Compositional Learning of Embeddings for Relation Paths in Knowledge Base and Text. In Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
Kristina Toutanova, Victoria Lin, Wen-tau Yih, Hoifung Poon, and Chris Quirk. 2016 · 2016
Later among the works it cites.
Knowledge Graph Completion via Complex Tensor Factorization
Théo Trouillon, Christopher R Dance, Johannes Welbl, Sebastian Riedel, Éric Gaussier, and Guillaume Bouchard. 2017 · 2017
Closest in time.