Agree with @mmw, I saw a graph model (internal to my org) where they tried to emulate named graphs in Neo4j using graphId and contextId for scoping. This practical approach is similar to how SPARQL uses named graphs but is different from the theoretical concept.
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Oh - this is so trueā¦there are so many similarities in the names given to processes as they evolve. Another great example of a term that is a complicated idea and in this case, crosses both both machine learning and knowledge graph technology domains is āinferenceā. It seems that word is used in so many different ways that are similar processes, but actually result in different outputs.