(use_rejection_sampling)
| 15 | [True, False], |
| 16 | ) |
| 17 | def test_Node2Vec(use_rejection_sampling): |
| 18 | graph = nx.read_edgelist( |
| 19 | str(TEST_GRAPH_PATH), |
| 20 | create_using=nx.DiGraph(), |
| 21 | nodetype=None, |
| 22 | data=[("weight", int)], |
| 23 | ) |
| 24 | model = Node2Vec( |
| 25 | graph, |
| 26 | walk_length=3, |
| 27 | num_walks=2, |
| 28 | p=0.25, |
| 29 | q=4, |
| 30 | workers=1, |
| 31 | use_rejection_sampling=use_rejection_sampling, |
| 32 | ) |
| 33 | model.train(embed_size=8, window_size=2, iter=1, workers=1) |
| 34 | embeddings = model.get_embeddings() |
| 35 | assert len(embeddings) == graph.number_of_nodes() |
| 36 | assert all(len(vector) == 8 for vector in embeddings.values()) |
| 37 | |
| 38 | |
| 39 | if __name__ == "__main__": |
nothing calls this directly
no test coverage detected