3.1. Factorization approaches

A Three-Way Model for Collective Learning on Multi-Relational Data

Authors: Maximilian Nickel, Volker Tresp, Hans-Peter Kriegel
Venue: ICML
Year: 2011
Paper
Code


Factorizing YAGO: Scalable Machine Learning for Linked Data

Authors: Maximilian Nickel, Volker Tresp, Hans-Peter Kriegel
Venue: WWW
Year: 2011
Paper
Code


Effective Blending of Two and Three-way Interactions for Modeling Multi-relational Data

Authors: Alberto García-Durán, Antoine Bordes, Nicolas Usunier
Venue: ECML-PKDD
Year: 2014
Paper
Code


Learning from Latent and Observable Patterns in Multi-Relational Data

Authors: Maximilian Nickel, Xueyan Jiang, Volker Tresp
Venue: NIPS
Year: 2014
Paper
Code


Learning First-Order Logic Embeddings via Matrix Factorization

Authors: William Yang Wang, William W. Cohen
Venue: IJCAI
Year: 2016
Paper
Code


Next chapter: 3.2 NEurla embeddings