What is the difference between a hypergraph and a knowledge graph?

Hypergraphs can connect more than two nodes with an edge. Traditional knowledge graphs connect exactly two nodes with one edge, in what is called a triple. A set of triples can be used to represent a hypergraph when bound to a model.

Most knowledge graphs try to represent complexities that go beyond traditional triples. In the same way as we can express information as columns and rows in tables, we can encode knowledge as elements and connections between them in a knowledge graph. Hypergraphs enable more expressive graphs in a native form, by introducing hyper-elements that connect more than two elements together with a single edge, as a native construct.

In this article we will explore the native implementation of hyper-elements in a DFRNT-hosted hypergraph. We will also explore alternative ways of thinking about hypergraphs in other graph engines.

Read the original version on the DFRNT blog: What is the difference between a hypergraph and a knowledge graph?

Hypergraphs vs Knowledge graphs

The hypergraph is the exotic brother of the traditional knowledge graph. Due to how they are…