class_docstr: Implement of SSGC
class_docstr_tok: ["Implement","of","SSGC"]
code: def __init__(
      self, input_size, num_class, num_layers=16, alpha=0.05, **kwargs
  ):
      super(SSGC, self).__init__()
      self.num_class = num_class
      self.num_layers = num_layers
      self.ssgc_layer = pgl.nn.SSGCConv(
          input_size=input_size,
          output_size=num_class,
          k_hop=num_layers,
          alpha=alpha,
          bias=True,
      )
  
imports: import pgl
  import paddle.nn
  import paddle.nn.functional
label_desc: Use image node_id 1 to create a new SSGC object from inherited base classes: nn with example: obj = SSGC(input_size, num_class, num_layers, alpha)