Heterogenous Graph construction

[AlizadehF]

Hello,
I want to create a hetero graph and visualize it.
my data is in separated CSV file ( X.CSV and Y.csv ). Some of nodes and edges are shared in these csvs.

`data['spu'].x = torch.tensor(u['tt']).reshape([-1, 1])
data['spu'].x = data['spu'].x.type(torch.FloatTensor)
data['dpu'].x = torch.tensor(u['tt']).reshape([-1, 1])
data['dpu'].x = data['dpu'].x.type(torch.FloatTensor)
data['spu','u', 'dpu'].edge_index = e
data['spu','u', 'dpu'].edge_attr = u_node_features

data['spt'].x = torch.tensor(t['tt']).reshape([-1, 1])
data['spt'].x = data['spt'].x.type(torch.FloatTensor)
data['dpt'].x = torch.tensor(t['tt']).reshape([-1, 1])
data['dpt'].x = data['dpt'].x.type(torch.FloatTensor)
data['spt','t', 'dpt'].edge_index = e1
data['spt','t', 'dpt'].edge_attr = t_node_features

data['spu'].y =y2
data['dpu'].y =y2
data['spt'].y =y3
data['dpt'].y =y3`

But, the dpu and dpt as a destination nodes are the same in some values in csv files. now this graph is constructed separate subgraph with different node and edge. how can solve this issue? to have one hetero graph. if i have dpu and dpt as a same name then the dpt edges is writen on the dpu.