Hello Deeplearning community,
I heard quite a fair bit of graph analytics, graph database in the past year. The idea seems quite intuitive: in real world, a lot of the relationships are network base, so they require different data structure and analysis to derive insight from these relationships.
Understand that Facebook has used graph analytics for a long time, and the use cases can apply to recommendations, AML, etc.
Although the use cases and theory sound intuitive, I don't see a lot of people using graph db or framework in real world. Any thoughts on lack of popularity?
Also is Graph just a complete separate stream of AI, or could it be linked to ML for better results?