code: def __init__(self, dim_in, dim_out, bias=False, **kwargs):
      super(GeneralEdgeConv, self).__init__()
      self.model = GeneralEdgeConvLayer(dim_in, dim_out, bias=bias)
  
imports: import torch
  import torch.nn
  import torch.nn.functional
  import torch_geometric
  import graphgym.register
  from graphgym.config import cfg
  from graphgym.contrib.layer.generalconv import GeneralConvLayer, GeneralEdgeConvLayer
  from graphgym.models.act import act_dict
label_desc: Use image node_id 1 to create a new GeneralEdgeConv object from inherited base classes: nn with example: obj = GeneralEdgeConv(dim_in, dim_out, bias)