ampligraph.datasets.load_from_ntriples(folder_name, file_name, data_home=None, add_reciprocal_rels=False)

Loads an RDF knowledge graph serialized as ntriples, without building an RDF graph in memory. This function should be preferred over load_from_rdf(), since it does not load the graph into an rdflib model (and it is therefore faster by order of magnitudes). Nevertheless, it requires a ntriples serialization as in the example below:
_:alice <http://xmlns.com/foaf/0.1/knows> _:bob .

It is recommended to use ampligraph.evaluation.train_test_split_no_unseen() to split custom knowledge graphs into train, validation, and test sets. Using this function will lead to validation, test sets that do not include triples with entities that do not occur in the training set.