11 A Review of Relational Machine Learning for Knowledge Graphs By M. Nickel, K. Murphy, V. Tresp, and E. Gabrilovich |INVITED PAPER| This paper reviews how statistical models can be ''trained'' on large knowledge graphs and then used to predict new facts about the world.