Rename GraphConvTensorGraph to GraphConvModel in actual class

        per_task_metrics=per_task_metrics)

class GraphConvTensorGraph(TensorGraph):

class GraphConvModel(TensorGraph):

  def __init__(self,

               n_tasks,

    self.graph_conv_layers = graph_conv_layers

    kwargs['use_queue'] = False

    self.number_atom_features = number_atom_features

    super(GraphConvTensorGraph, self).__init__(**kwargs)

    super(GraphConvModel, self).__init__(**kwargs)

    self.build_graph()

  def build_graph(self):

          result = undo_transforms(feed_results[0], transformers)

          feed_results = [result]

        for ind, result in enumerate(feed_results):

          # GraphConvTensorGraph constantly outputs batch_size number of

          # GraphConvModel constantly outputs batch_size number of

          # results, only valid samples should be appended to final results

          results[ind].append(result[:n_samples])