def test_line_graph():
assert LineGraph().__repr__() == 'LineGraph()'
# Directed.
edge_index = torch.tensor([
[0, 1, 2, 2, 3],
[1, 2, 0, 3, 0],
])
data = Data(edge_index=edge_index, num_nodes=4)
data = LineGraph()(data)
assert data.edge_index.tolist() == [[0, 1, 1, 2, 3, 4], [1, 2, 3, 0, 4, 0]]
assert data.num_nodes == data.edge_index.max().item() + 1
# Undirected.
edge_index = torch.tensor([[0, 0, 0, 1, 1, 2, 2, 3, 3, 3, 4, 4],
[1, 2, 3, 0, 4, 0, 3, 0, 2, 4, 1, 3]])
edge_attr = torch.ones(edge_index.size(1))
data = Data(edge_index=edge_index, edge_attr=edge_attr, num_nodes=5)
data = LineGraph()(data)
assert data.edge_index.max().item() + 1 == data.x.size(0)
assert data.edge_index.tolist() == [
[0, 0, 0, 1, 1, 1, 2, 2, 2, 2, 3, 3, 4, 4, 4, 5, 5, 5],
[1, 2, 3, 0, 2, 4, 0, 1, 4, 5, 0, 5, 1, 2, 5, 2, 3, 4],
]
assert data.x.tolist() == [2, 2, 2, 2, 2, 2]
assert data.num_nodes == data.edge_index.max().item() + 1
def test_line_graph():
assert LineGraph().__repr__() == 'LineGraph()'
# Directed.
edge_index = torch.tensor([[0, 1, 2, 2, 3], [1, 2, 0, 3, 0]])
data = Data(edge_index=edge_index)
data = LineGraph()(data)
assert data.edge_index.tolist() == [[0, 1, 1, 2, 3, 4], [1, 2, 3, 0, 4, 0]]
# Undirected.
edge_index = torch.tensor([[0, 1, 1, 2, 2, 0, 2, 3, 3, 0],
[1, 0, 2, 1, 0, 2, 3, 2, 0, 3]])
data = Data(edge_index=edge_index)
data = LineGraph()(data)
assert data.edge_index.tolist() == [
[0, 1, 0, 2, 0, 4, 1, 2, 1, 3, 2, 3, 2, 4, 3, 4],
[1, 0, 2, 0, 4, 0, 2, 1, 3, 1, 3, 2, 4, 2, 4, 3],
]
def test_line_graph_undirected():
edge_index = torch.tensor(
[[0, 1, 1, 2, 2, 0, 2, 3, 3, 0], [1, 0, 2, 1, 0, 2, 3, 2, 0, 3]],
dtype=torch.long)
expected_row = [0, 1, 0, 2, 0, 4, 1, 2, 1, 3, 2, 3, 2, 4, 3, 4]
expected_col = [1, 0, 2, 0, 4, 0, 2, 1, 3, 1, 3, 2, 4, 2, 4, 3]
data = Data(edge_index=edge_index)
data = LineGraph()(data)
assert data.edge_index[0].tolist() == expected_row
assert data.edge_index[1].tolist() == expected_col
def test_line_graph():
assert LineGraph().__repr__() == 'LineGraph'