I am from a background in graph theory and I discovered graph databases recently.
I wrote a research article with my functional point of view instead of the classical relational point of view in graph theory logic.
I tried to make the introduction of my article as friendly and easy to grasp the core concepts as possible.
I wanted to share my article with you :
In the introduction I show that GraphQL queries can be solved on a reversible matrix instead of a multigraph. There is one trivial theorem where you just transform edges/arcs into new vertices using the incidency graph.
And there is a slightly less trivial theorem where you transform multi-edges with properties between vertices into a single integer value from one vertex to another.
The slightly less trivial theorem can, nevertheless, only be done for a fragment of GraphQL.
I don't know if any of these theorems can be made efficient and have practical applications but maybe some of you will enjoy to have a logical framework that fits graph databases.
May I ask for your feedback, please ?