I am looking for a way, to predict a numerical property of a node.
My Neo4j contains a supply chain network, I am looking for a way to add missing properties to product nodes, especially a price. The price should be predicted from the context. For example, through considering the price of the predecessors and successors or a different similar product in the same location...
I already extracted some of that information into a table and used traditional machine learning algorithms for the same task. The results were quite promising, now I want to improve on that by considering the complete graph context.
Some more information: My Neo4j contains no transactional data and it is not dynamical.
Thank you for every idea or suggestion in advance!