class_docstr: Implement of SGC
class_docstr_tok: ["Implement","of","SGC"]
code: def __init__(self, input_size, num_class, num_layers=1, **kwargs):
      super(SGC, self).__init__()
      self.num_class = num_class
      self.num_layers = num_layers
      self.sgc_layer = pgl.nn.SGCConv(
          input_size=input_size, output_size=num_class, k_hop=num_layers
      )
  
imports: import pgl
  import paddle.nn
  import paddle.nn.functional
label_desc: Use image node_id 1 to create a new SGC object from inherited base classes: nn with example: obj = SGC(input_size, num_class, num_layers)