Pinsage model question

Questions
#1

I’ve a question regarding the pinsage model. I tried using the movie lens data.I see that Following is the model created.

PinSAGEModel(
  (proj): LinearProjector(
    (inputs): ModuleDict(
      (year): Embedding(82, 64, padding_idx=81)
      (genre): Linear(in_features=18, out_features=64, bias=True)
      (id): Embedding(3707, 64, padding_idx=3706)
      (title): BagOfWords(
        (emb): Embedding(4946, 64, padding_idx=1)
      )
    )
  )
  (sage): SAGENet(
    (convs): ModuleList(
      (0): WeightedSAGEConv(
        (Q): Linear(in_features=64, out_features=64, bias=True)
        (W): Linear(in_features=128, out_features=64, bias=True)
        (dropout): Dropout(p=0.5, inplace=False)
      )
      (1): WeightedSAGEConv(
        (Q): Linear(in_features=64, out_features=64, bias=True)
        (W): Linear(in_features=128, out_features=64, bias=True)
        (dropout): Dropout(p=0.5, inplace=False)
      )
    )
  )
  (scorer): ItemToItemScorer()
)

However I don’t see the user features not being used here. In the preprocess_movielens.py file, features for the user are assigned. But I don’t see them being used in the model.

g.nodes['user'].data['gender'] = torch.LongTensor(users['gender'].cat.codes.values)
g.nodes['user'].data['age'] = torch.LongTensor(users['age'].cat.codes.values)
g.nodes['user'].data['occupation'] = torch.LongTensor(users['occupation'].cat.codes.values)
g.nodes['user'].data['zip'] = torch.LongTensor(users['zip'].cat.codes.values)

Can you please help me understand?
@BarclayII

#2

Answered at Pinsage error when training