code: def send_func(self, src_feat, dst_feat, edge_feat):
      if self.with_efeat:
          h = F.relu(src_feat["x"] + edge_feat["e"])
      else:
          h = F.relu(src_feat["x"])
      h = paddle.concat([h, dst_feat["x"]], axis=1)
      h = self.send_mlp(h)
      return {"h": h}
  
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 2 for calling the CatGINConv obj's underlying member method code with example usage: obj.send_func(src_feat, dst_feat, edge_feat) and returns: dict