Use up to date pyrdf2vec to generate embeddings?

[vemonet]

See the pyRDF2Vec documentation:

https://pyrdf2vec.readthedocs.io/en/latest/readme.html#create-a-knowledge-graph-object

To create embeddings:

from pyrdf2vec.graphs import KG

kg = KG(location="https://dbpedia.org/sparql", is_remote=True)

from pyrdf2vec.samplers import UniformSampler
from pyrdf2vec.walkers import RandomWalker

walkers = [RandomWalker(4, 5, UniformSampler())]

from pyrdf2vec import RDF2VecTransformer

transformer = RDF2VecTransformer(walkers=[walkers], sg=1)
# Entities should be a list of URIs that can be found in the Knowledge Graph
embeddings = transformer.fit_transform(kg, entities)