code: def __repr__(self):
      return "{}({}, {})".format(
          self.__class__.__name__, self.in_channels, self.out_channels
      )
  
imports: import torch
  from torch import nn
  import torch.nn.functional
  import dgl
  from dgl.nn.pytorch.conv import *
  import dgl.function
  import math
  from dgl.utils import expand_as_pair
  from dgl.nn.functional import edge_softmax
  from torch.nn import Parameter
  import torch
  from torch import Tensor
  from ..scatter_utils import *
  from typing import Optional, Tuple, Union
label_desc: Use image node_id 3 for calling the LinearConv obj's underlying member method code with example usage: obj.__repr__() and returns: str