code: def gcn_msg(edge):
      msg = edge.src["h"] * edge.src["norm"]
      return {"m": msg}
  
imports: import argparse
  import math
  import time
  import dgl
  import networkx
  import numpy
  import tensorflow
  from dgl.data import CiteseerGraphDataset, CoraGraphDataset, PubmedGraphDataset, register_data_args
  from tensorflow.keras import layers
label_desc: Use image node_id 1 for calling a global function with example usage: gcn_msg(edge) and returns: dict