class_docstr: A Graph Isomorphism Network (GIN) layer.
class_docstr_tok: ["A","Graph","Isomorphism","Network","(","GIN",")","layer","."]
code: def __init__(self, layer_config: LayerConfig, **kwargs):
      super().__init__()
      gin_nn = torch.nn.Sequential(
          Linear_pyg(layer_config.dim_in, layer_config.dim_out),
          torch.nn.ReLU(),
          Linear_pyg(layer_config.dim_out, layer_config.dim_out),
      )
      self.model = pyg.nn.GINConv(gin_nn)
  
imports: import copy
  from dataclasses import dataclass, replace
  import torch
  import torch.nn.functional
  import torch_geometric
  import torch_geometric.graphgym.models.act
  import torch_geometric.graphgym.register
  from torch_geometric.graphgym.contrib.layer.generalconv import GeneralConvLayer, GeneralEdgeConvLayer
  from torch_geometric.graphgym.register import register_layer
  from torch_geometric.nn import Linear
label_desc: Use image node_id 1 to create a new GINConv object from inherited base classes: torch.nn with example: obj = GINConv(layer_config)