code: def __init__(self, weights):
      super(GCNInference, self).__init__()
      self.weights = weights
  
imports: import argparse
  import torch
  import numpy
  import torch.nn.functional
  from torch.utils.data import DataLoader
  from torch_sparse import SparseTensor
  from torch_geometric.data import GraphSAINTRandomWalkSampler
  from torch_geometric.nn import GCNConv
  from torch_geometric.utils import to_undirected
  from ogb.linkproppred import PygLinkPropPredDataset, Evaluator
  from logger import Logger
label_desc: Use image node_id 1 to create a new GCNInference object from inherited base classes: torch.nn with example: obj = GCNInference(weights)