code: def __init__(self, items_total, item_embedding):
      super(GlobalGatedUpdater, self).__init__()
      self.items_total = items_total
      self.item_embedding = item_embedding
      self.alpha = nn.Parameter(
          torch.rand(items_total, 1), requires_grad=True
      )
  
imports: import torch
  import numpy
  import torch.nn
  from typing import List
  import torch.nn.functional
  from torch_geometric.nn import GCNConv
label_desc: Use image node_id 1 to create a new GlobalGatedUpdater object from inherited base classes: nn with example: obj = GlobalGatedUpdater(items_total, item_embedding)