text: from cogdl.layers import SGCLayer
  
  from .. import BaseModel
  
  
  class sgc(BaseModel):
      @staticmethod
      def add_args(parser):
          parser.add_argument("--num-features", type=int)
          parser.add_argument("--num-classes", type=int)
  
      @classmethod
      def build_model_from_args(cls, args):
          return cls(in_feats=args.num_features, out_feats=args.num_classes)
  
      def __init__(self, in_feats, out_feats):
          super(sgc, self).__init__()
          self.nn = SGCLayer(in_feats, out_feats)
          self.cache = dict()
  
      def forward(self, graph):
          graph.sym_norm()
  
          x = self.nn(graph, graph.x)
          return x
  
      def predict(self, data):
          return self.forward(data)
  