code: def __init__(self, in_channels):
      super().__init__()
      self.lin_src = Linear(in_channels, in_channels)
      self.lin_dst = Linear(in_channels, in_channels)
      self.lin_final = Linear(in_channels, 1)
  
file_path: pytorch_geometric/examples/tgn.py
imports: import os.path
  import torch
  from sklearn.metrics import average_precision_score, roc_auc_score
  from torch.nn import Linear
  from torch_geometric.datasets import JODIEDataset
  from torch_geometric.loader import TemporalDataLoader
  from torch_geometric.nn import TGNMemory, TransformerConv
  from torch_geometric.nn.models.tgn import IdentityMessage, LastAggregator, LastNeighborLoader
label_desc: Use image node_id 1 to create a new LinkPredictor object from inherited base classes: torch.nn with example: obj = LinkPredictor(in_channels)