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Update virtual_node.py #7751

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Update virtual_node.py #7751

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15dc23c
Update virtual_node.py
mzamini92 Jul 16, 2023
56aa42d
[pre-commit.ci] auto fixes from pre-commit.com hooks
pre-commit-ci[bot] Jul 16, 2023
fd53e6c
Merge branch 'master' into patch-11
mzamini92 Jul 18, 2023
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38 changes: 21 additions & 17 deletions torch_geometric/transforms/virtual_node.py
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Original file line number Diff line number Diff line change
Expand Up @@ -37,37 +37,41 @@ def forward(self, data: Data) -> Data:
new_type = edge_type.new_full((num_nodes, ), int(edge_type.max()) + 1)
edge_type = torch.cat([edge_type, new_type, new_type + 1], dim=0)

old_data = copy.copy(data)
for key, value in old_data.items():
for key, value in data.items():
if key == 'edge_index' or key == 'edge_type':
continue

if isinstance(value, Tensor):
dim = old_data.__cat_dim__(key, value)
size = list(value.size())
dim = data.__cat_dim__(key, value)

fill_value = None
if key == 'edge_weight':
size = list(value.size())
size[dim] = 2 * num_nodes
fill_value = 1.
data[key] = torch.cat(
[value, torch.ones(size, device=value.device)],
dim=dim)
elif key == 'batch':
size[dim] = 1
fill_value = int(value[0])
elif old_data.is_edge_attr(key):
data[key] = torch.cat(
[value,
torch.tensor([value[0]], device=value.device)],
dim=dim)
elif data.is_edge_attr(key):
size = list(value.size())
size[dim] = 2 * num_nodes
fill_value = 0.
elif old_data.is_node_attr(key):
data[key] = torch.cat(
[value, torch.zeros(size, device=value.device)],
dim=dim)
elif data.is_node_attr(key):
size = list(value.size())
size[dim] = 1
fill_value = 0.

if fill_value is not None:
new_value = value.new_full(size, fill_value)
data[key] = torch.cat([value, new_value], dim=dim)
data[key] = torch.cat(
[value, torch.zeros(size, device=value.device)],
dim=dim)

data.edge_index = edge_index
data.edge_type = edge_type

if 'num_nodes' in data:
data.num_nodes = old_data.num_nodes + 1
data.num_nodes = num_nodes + 1

return data