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compare the generated features with original features, the size must match.
so at model.py
line 30:
self.layers.append(GCNConv_dense(hidden_dim, nclasses))
think it should be
self.layers.append(GCNConv_dense(hidden_dim, in_dim))
The text was updated successfully, but these errors were encountered:
The size match as when creating an instance of a GCN_DAE in lines 229 and 162 in main.py, both in_dim and n_classes are set to nfeats. The reason why not use only one parameter for both is to keep the model general.
compare the generated features with original features, the size must match.
so at model.py
line 30:
self.layers.append(GCNConv_dense(hidden_dim, nclasses))
think it should be
self.layers.append(GCNConv_dense(hidden_dim, in_dim))
The text was updated successfully, but these errors were encountered: