class_docstr: Single graph convolution layer.
class_docstr_tok: ["Single","graph","convolution","layer","."]
code: def build(self, input_shape):
      super(GraphConvLayer, self).build(input_shape)
      self.weight = self.add_weight(
          name="weight",
          shape=(input_shape[0][-1], self.output_dim),
          initializer="glorot_normal",
          trainable=True,
      )
      if self.bias:
          self.b = self.add_weight(
              name="bias",
              shape=(self.output_dim,),
              initializer="glorot_normal",
              trainable=True,
          )
  
imports: import tensorflow
label_desc: Use image node_id 2 for calling the GraphConvLayer obj's underlying member method code with example usage: obj.build(input_shape) without return types