code: def __init__(self, full_graph, ntype):
      super().__init__()
  
      n_nodes = full_graph.num_nodes(ntype)
      self.bias = nn.Parameter(torch.zeros(n_nodes))
  
imports: import argparse
  import pickle
  import time
  import dgl
  import dgl.function
  import numpy
  import torch
  import torch.nn
  import torch.nn.functional
  from torch.utils.data import DataLoader, IterableDataset
  from ..None import utils
label_desc: Use image node_id 1 to create a new ItemToItemScorer object from inherited base classes: nn with example: obj = ItemToItemScorer(full_graph, ntype)