430beec651fe14e4f0f032cbc27e18a9ca415d90,examples/cora.py,,,#,11

Before Change

dataset = Cora(path, transform=transform)
data = dataset[0]
input, adj, target = data["input"], data["adj"], data["target"]
n = adj.size(0)
train_mask = torch.arange(0, n - 1000, out=torch.LongTensor())
test_mask = torch.arange(n - 500, n, out=torch.LongTensor())

if torch.cuda.is_available():

After Change

path = os.path.join(path, "..", "data", "Cora")
dataset = Cora(path, transform=TargetIndegreeAdj())
data = dataset[0].cuda().to_variable()
train_mask = torch.arange(0, data.num_nodes - 1000).long()
test_mask = torch.arange(data.num_nodes - 500, data.num_nodes).long()


class Net(nn.Module):

Instances