fastnode2vec
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louisabraham
Fast and scalable node2vec implementation
The code is ` graph = Graph(_lst, directed=True, weighted=True)` `model = Node2Vec(_graph, dim=300, walk_length=100, context=10, p=2.0, q=0.5, workers=-1)` `model.train(epochs=epochs)` I have 10,000 nodes. When I check: `model.index_to_key`, there are only...
This was requested in #6 and #7. It is possible in theory to achieve it with linear memory consumption by storing random seeds.
can fastnode2vec operate on completely disconnected nodes from the graph? like the graph below A----->B--------->C D(disconnected node from the graph)
