code: def __init__(self, num_state, num_node, bias=False):
      super(GCN, self).__init__()
      self.conv1 = nn.Conv1D(num_node, num_node, kernel_size=1)
      self.relu = nn.ReLU()
      self.conv2 = nn.Conv1D(
          num_state, num_state, kernel_size=1, bias_attr=bias
      )
  
imports: import paddle
  import paddle.nn
  import paddle.nn.functional
  from paddleseg.cvlibs import manager
  from paddleseg.models import layers
  from paddleseg.utils import utils
label_desc: Use image node_id 1 to create a new GCN object from inherited base classes: nn with example: obj = GCN(num_state, num_node, bias)