class_docstr: GraphIndependent with MLP edge, node, and global models.
class_docstr_tok: ["GraphIndependent","with","MLP","edge",",","node",",","and","global","models","."]
code: def __init__(self, name="MLPGraphIndependent"):
      super(MLPGraphIndependent, self).__init__(name=name)
      with self._enter_variable_scope():
          self._network = modules.GraphIndependent(
              edge_model_fn=make_mlp_model,
              node_model_fn=make_mlp_model,
              global_model_fn=make_mlp_model,
          )
  
file_path: graph_nets/graph_nets/demos/models.py
imports: from __future__ import absolute_import
  from __future__ import division
  from __future__ import print_function
  from graph_nets import modules
  from graph_nets import utils_tf
  import sonnet
label_desc: Use image node_id 1 to create a new MLPGraphIndependent object from inherited base classes: snt with example: obj = MLPGraphIndependent(name)