Knowledge Graph Inference with Neural Embeddings

TLDR

Recently, some of my work involved working with knowledge graphs. I was somewhat surprised to discover how sparse resources were on working with knowledge graphs. Most of the literature was locked in research papers that are relatively inaccessible unless you have a fair amount of time on your hands.

What is a knowledge graph?

Simply put, a knowledge graph is a collection of facts, in the form of two entities and a relationship: (e1, r, e2). For instance, a representation of the concept that “Tom Cruise acted in Mission Impossible” would be represented as:

(“Tom Cruise”, acted_in, “Mission Impossible”)