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Please check line 45-48 in "train.py":
model = GCN(nfeat=features.shape[1],
nhid=args.hidden,
nclass=labels.max().item() + 1,
dropout=args.dropout)
Dear Jaborie, I appreciate your response. I was wondering do you happen to know in layers module:
class GraphConvolution(Module):
def init(self, in_features, out_features, bias=True):
Where the values of these parameters are fed into the system? They have not been mentioned anywhere in the code: in_features, out_features
In the module named "MODELS" :
class GCN(nn.Module):
def init(self, nfeat, nhid, nclass, dropout):
but the values of these paramters are not specified in the code. I am confused how the code gets these values! nfeat, nhid, nclass
would be great helping me out
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