code: def forward(self, graph, nfeat, efeat=None):
      if efeat is not None:
          if self.with_efeat:
              efeat = self.bond_encoder(efeat)
  
          msg = graph.send(
              src_feat={"h": nfeat},
              dst_feat={"h": nfeat},
              edge_feat={"e": efeat},
              message_func=self.send_func,
          )
      else:
          msg = graph.send(
              src_feat={"h": nfeat},
              dst_feat={"h": nfeat},
              message_func=self.send_func,
          )
  
      out = graph.recv(msg=msg, reduce_func=self.recv_func)
  
      out = nfeat + out
      out = self.mlp(out)
  
      return out
  
imports: import numpy
  import math
  import paddle
  import paddle.nn
  import paddle.nn.functional
  import paddle.distributed
  import pgl
  import pgl.nn
  from pgl.nn import functional
  from pgl.utils.logger import log
  import models.mol_encoder
label_desc: Use image node_id 4 for calling the LiteGEMConv obj's underlying member method code with example usage: obj.forward(graph, nfeat, efeat) and returns: out