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Introduction
An overview
Vectorization approaches
Factorization
Neural embeddings
Bayesian clustering
Relational approaches
Hybrid approaches
Related approaches
Relational Learning Primer
Deep Learning Primer
3.2. Neural embeddings
Learning Structured Embeddings of Knowledge Bases
Authors: Antoine Bordes, Jason Weston, Ronan Collobert, Yoshua Bengio
Venue: AAAI
Year: 2011
Paper
Code
A latent factor model for highly multi-relational data
Authors: Rodolphe Jenatton, Nicolas L Roux, Antoine Bordes, Guillaume R Obozinski
Venue: NIPS
Year: 2012
Paper
Code
A Semantic Matching Energy Function for Learning with Multi-relational Data
Authors: Antoine Bordes, Xavier Glorot, Jason Weston, Yoshua Bengio
Venue: Machine Learning: Special Issue on Learning Semantics
Year: 2013
Paper
Code
Translating Embeddings for Modeling Multi-relational Data
Authors: Antoine Bordes, Nicolas Usunier, Alberto Garcia-Duran, Jason Weston, Oksana Yakhnenko
Venue: NIPS
Year: 2013
Paper
Code
Learning Entity and Relation Embeddings for Knowledge Graph Completion
Authors: Yankai Lin, Zhiyuan Liu, Maosong Sun, Yang Liu, Xuan Zhu
Venue: AAAI
Year: 2015
Paper
Code
Embedding Entities and Relations for Learning and Inference in Knowledge Bases
Authors: Bishan Yang, Wen-tau Yih, Xiaodong He, Jianfeng Gao, Li Deng
Venue: ICLR
Year: 2015
Paper
Code
Injecting Logical Background Knowledge into Embeddings for Relation Extraction
Authors: Tim Rocktaschel, Sameer Singh, Sebastian Riedel
Venue: NAACL
Year: 2015
Paper
Code
Representation Learning of Knowledge Graphs with Entity Descriptions
Authors: Ruobing Xie, Zhiyuan Liu, Jia Jia, Huanbo Luan, Maosong Sun
Venue: AAAI
Year: 2016
Paper
Code
Combining two and three-way embedding models for link prediction in knowledge bases
Authors: Alberto García-Durán, Antoine Bordes, Nicolas Usunier, Yves Grandvalet
Venue: JAIR
Year: 2016
Paper
Code
Complex Embeddings for Simple Link Prediction
Authors: Théo Trouillon, Johannes Welbl, Sebastian Riedel, Éric Gaussier, Guillaume Bouchard
Venue: ICML
Year: 2016
Paper
Code
Representation Learning of Knowledge Graphs with Hierarchical Types
Authors: Ruobing Xie, Zhiyuan Liu, Maosong Sun
Venue: IJCAI
Year: 2016
Paper
Code
Holographic Embeddings Knowledge Graphs
Authors: Maximilian Nickel, Lorenzo Rosasco, Tomaso Poggio
Venue: AAAI
Year: 2016
Paper
Code
Low-Dimensional Embeddings of Logic.
Authors: Tim Rocktaschel, Matko Bosnjak, Sameer Singh, Sebastian Riedel
Venue: ACL Workshop on Semantic Parsing
Year: 2014
Paper
Code
Next chapter:
3.3. Bayesian clustering