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generator = torch.Generator()
generator.manual_seed(seed)
hv = functional.random_hv(10, 10000, generator=generator)
G = structures.Graph(dim_or_input=10000, directed=True)
G.add_edge(hv[0], hv[1])
G.add_edge(hv[0], hv[2])
G.add_edge(hv[1], hv[2])
print(functional.cosine_similarity(G.node_neighbors(hv[1]), hv))
tensor([-0.0142, 0.0021, -0.0057, -0.0036, -0.0141, -0.0020, 0.0037, -0.0062,
0.0059, -0.0022])
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