code: def forward(self, data):
      x, edge_index, batch = data.x, data.edge_index, data.batch
  
      if self.num_graph_features > 0:
          graph_feature = data.gf
  
      for i in range(self.num_layer - 2):
          x = self.convs[i](x, edge_index)
          x = activate_func(x, self.args["act"])
          x = self.bns[i](x)
  
      x = global_add_pool(x, batch)
      if self.num_graph_features > 0:
          x = torch.cat([x, graph_feature], dim=-1)
      x = self.fc1(x)
      x = activate_func(x, self.args["act"])
      x = F.dropout(x, p=self.args["dropout"], training=self.training)
  
      x = self.fc2(x)
  
      return F.log_softmax(x, dim=1)
  
file_path: AutoGL/autogl/module/model/pyg/gin.py
imports: import torch
  import torch.nn.functional
  from torch.nn import Linear, ReLU, Sequential, LeakyReLU, Tanh, ELU
  from torch_geometric.nn import GINConv, global_add_pool
  from torch.nn import BatchNorm1d
  from .None import register_model
  from .base import BaseAutoModel, activate_func
  from copy import deepcopy
  from ....utils import get_logger
label_desc: Use image node_id 2 for calling the GIN obj's underlying member method code with example usage: obj.forward(data) and returns: F