code: def __init__(
      self, dims, metapath, label_dim, feature_idx, feature_max_id
  ):
      super(GraphGCN, self).__init__(label_dim)
      self.gnn = GNN(
          "graphgcn",
          "full",
          dims,
          None,
          metapath,
          feature_idx,
          feature_max_id,
      )
      self.pool = tf_euler.graph_pool.Pooling("add")
  
file_path: euler/examples/graphgcn/graphgcn.py
imports: from __future__ import absolute_import
  from __future__ import division
  from __future__ import print_function
  import tensorflow
  import tf_euler
  from tf_euler.python.mp_utils.base_gnn import BaseGNNNet
  from tf_euler.python.mp_utils.base_graph import GraphModel
label_desc: Use image node_id 1 to create a new GraphGCN object from inherited base classes: GraphModel with example: obj = GraphGCN(dims, metapath, label_dim, feature_idx, feature_max_id)