code: def forward(self, x, edge_index, edge_attr):
      edge_embedding = self.bond_encoder(edge_attr)
      out = self.mlp(
          (1 + self.eps) * x
          + self.propagate(edge_index, x=x, edge_attr=edge_embedding)
      )
  
      return out
  
imports: import torch
  from torch_geometric.nn import MessagePassing
  import torch.nn.functional
  from torch_geometric.nn import global_mean_pool, global_add_pool
  from ogb.graphproppred.mol_encoder import AtomEncoder, BondEncoder
  from torch_geometric.utils import degree
  import math
label_desc: Use image node_id 2 for calling the GINConv obj's underlying member method code with example usage: obj.forward(x, edge_index, edge_attr) and returns: out