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Knowledge graphs are structured representations of real world facts.
The Expression of a Tensor or a Polyadic as a Sum of Products
Frank L Hitchcock. 1927 · 1927
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Dropout: A Simple Way to Prevent Neural Networks from Overfitting
Nitish Srivastava, Geoffrey Hinton, Alex Krizhevsky, Ilya Sutskever, and Ruslan Salakhutdinov. 2014 · 1958
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The Extension of Factor Analysis to Three-Dimensional Matrices
Ledyard R Tucker. 1964 · 1964
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Some Mathematical Notes on Three-Mode Factor Analysis
Ledyard R Tucker. 1966 · 1966
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Principal Component Analysis of Three-Mode Data by Means of Alternating Least Squares Algorithms
Pieter M Kroonenberg and Jan De Leeuw. 1980 · 1980
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Tensor Decompositions and Applications
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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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Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift
Sergey Ioffe and Christian Szegedy. 2015 · 2015
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Adam: A Method for Stochastic Optimization
Diederik P Kingma and Jimmy Ba. 2015 · 2015
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Representing Text for Joint Embedding of Text and Knowledge Bases
Kristina Toutanova, Danqi Chen, Patrick Pantel, Hoifung Poon, Pallavi Choudhury, and Michael Gamon. 2015 · 2015
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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. 2015 · 2015
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Knowledge Graph Embedding by Flexible Translation
Jun Feng, Minlie Huang, Mingdong Wang, Mantong Zhou, Yu Hao, and Xiaoyan Zhu. 2016 · 2016
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STransE: a Novel Embedding Model of Entities and Relationships in Knowledge Bases
Dat Quoc Nguyen, Kairit Sirts, Lizhen Qu, and Mark Johnson. 2016 · 2016
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Bayesian Poisson Tucker Decomposition for Learning the Structure of International Relations
Aaron Schein, Mingyuan Zhou, David Blei, and Hanna Wallach. 2016 · 2016
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Complex Embeddings for Simple Link Prediction
Théo Trouillon, Johannes Welbl, Sebastian Riedel, Éric Gaussier, and Guillaume Bouchard. 2016 · 2016
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MUTAN: Multimodal Tucker Fusion for Visual Question Answering
Deep Multi-task Representation Learning: A Tensor Factorisation Approach
Yongxin Yang and Timothy Hospedales. 2017 · 2017
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Go for a Walk and Arrive at the Answer: Reasoning over Paths in Knowledge Bases Using Reinforcement Learning
Rajarshi Das, Shehzaad Dhuliawala, Manzil Zaheer, Luke Vilnis, Ishan Durugkar, Akshay Krishnamurthy, Alex Smola, and Andrew McCallum. 2018 · 2018
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Convolutional 2D Knowledge Graph Embeddings
Tim Dettmers, Pasquale Minervini, Pontus Stenetorp, and Sebastian Riedel. 2018 · 2018
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TorusE: Knowledge Graph Embedding on a Lie Group
Takuma Ebisu and Ryutaro Ichise. 2018 · 2018
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SimplE Embedding for Link Prediction in Knowledge Graphs
Seyed Mehran Kazemi and David Poole. 2018 · 2018
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Canonical Tensor Decomposition for Knowledge Base Completion
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Hedi Ben-Younes, Rémi Cadene, Matthieu Cord, and Nicolas Thome. 2017 · 2017
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Analogical Inference for Multi-relational Embeddings
Hanxiao Liu, Yuexin Wu, and Yiming Yang. 2017 · 2017
Cited alongside, same era.
Automatic Differentiation in PyTorch
Adam Paszke, Sam Gross, Soumith Chintala, Gregory Chanan, Edward Yang, Zachary DeVito, Zeming Lin, Alban Desmaison, Luca Antiga, and Adam Lerer. 2017 · 2017
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Knowledge Graph Completion via Complex Tensor Factorization
Théo Trouillon, Christopher R Dance, Éric Gaussier, Johannes Welbl, Sebastian Riedel, and Guillaume Bouchard. 2017 · 2017
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Differentiable Learning of Logical Rules for Knowledge Base Reasoning
Fan Yang, Zhilin Yang, and William W Cohen. 2017 · 2017
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Timothée Lacroix, Nicolas Usunier, and Guillaume Obozinski. 2018 · 2018
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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
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M-Walk: Learning to Walk over Graphs using Monte Carlo Tree Search
Yelong Shen, Jianshu Chen, Po-Sen Huang, Yuqing Guo, and Jianfeng Gao. 2018 · 2018
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Hypernetwork Knowledge Graph Embeddings
Ivana Balažević, Carl Allen, and Timothy M Hospedales. 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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