code: def lp_encode(self, data):
      if "feat" in data.ndata:
          x = data.ndata["feat"]
      else:
          x = data.ndata["attr"]
      for i in range(len(self.convs) - 2):
          x = self.convs[i](data, x)
          x = activate_func(x, self.args["act"])
      x = self.convs[-2](data, x)
      return x
  
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 2 for calling the GraphSAGE obj's underlying member method code with example usage: obj.lp_encode(data) and returns: x