Hello, 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 : https://web.archive.org/web/20201230092310/http://lyaudet.eu/laurent/Publi/Journaux/LL2020LargeursStructuresBinaires/LL2020LargeursStructuresBinaires_v5.pdf
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 ? Best regards, Laurent Lyaudet -- You received this message because you are subscribed to the Google Groups "Neo4j" group. To unsubscribe from this group and stop receiving emails from it, send an email to neo4j+unsubscr...@googlegroups.com. To view this discussion on the web visit https://groups.google.com/d/msgid/neo4j/e0045bfc-cd16-462b-ad2c-82016e91ea29n%40googlegroups.com.