Generators for graphs?

[gsvgit]

Should we store graphs? I think that for synthetic graphs (worst case, sparse-to-full) we should create generators. Also, I think that for real-world data we should provide converters to our format, instead of converted graphs storing.

[ciromdrs]

In our implementation (https://gitlab.com/ciromoraismedeiros/rdf-ccfpq) we use python functions for generating synthetic graphs. Here's a sample for generating complete graphs (n is the number of vertices):

def new_complete_graph(n, predicates): 
    graph = Graph()
    for i in range(1,n+1):
        s = str(i)
        for p in predicates:
            for j in range(1,n+1):
                o = str(j)
                graph.add(s,p,o)
    return graph

Is that what you are looking for?

As for the data format, I believe we should make our implementations able to read any RDF format.
That is easily achievable in Python with RDFLib (https://pypi.org/project/rdflib/).

[gsvgit]

Done. Now we use generators for synthetic graphs.