code: def forward(self, data):
      try:
          x = data.ndata["feat"]
      except:
          print("no x")
          pass
  
      x = F.dropout(x, p=self.args["dropout"], training=self.training)
      for i in range(self.num_layer):
          x = self.convs[i](data, x)
          if i != self.num_layer - 1:
              x = activate_func(x, self.args["act"])
              x = F.dropout(
                  x, p=self.args["dropout"], training=self.training
              )
  
      return F.log_softmax(x, dim=1)
  
file_path: AutoGL/autogl/module/model/dgl/graphsage.py
imports: import torch
  import typing
  import torch.nn.functional
  from dgl.nn.pytorch.conv import SAGEConv
  import torch.nn.functional
  from .None import register_model
  from .base import BaseAutoModel, activate_func
  from ....utils import get_logger
label_desc: Use image node_id 5 for calling the GraphSAGE obj's underlying member method code with example usage: obj.forward(data) and returns: F