I was intrigued by the ability to define nodes & relationships and it reminded me of the metadata model we used in my first development job writing RDBMS "scanners" for a data warehouse product.
This time, I have two use cases in mind for experimental learning: a graph of Cucumber Gherkin feature/file content and a representation of process & procedure documentation.
I also recommend the Graphistania podcast, where I was inspired to join this community.
Thanks, Kyle. I joined the group and look forward to attending the next meetup. Based on the location of the Feb event, are you at BAC? I am the only Hjellming there.
I will enjoy meeting you & others at GraphAware. Based on quick browsing of some of the blog posts, I wonder if one of my scenarios for Neo4j & ML/AI would fit in Knowledge Graph capabilities.