code: def __init__(self, g, in_feats, n_classes, n_hidden, k, bias):
      super(SGC, self).__init__()
      self.g = g
      self.net = SGConv(
          in_feats, n_classes, k=k, cached=True, bias=bias
      )
  
imports: import torch
  import torch.nn
  from dgl.nn.pytorch import AGNNConv, APPNPConv, ChebConv, GATConv, GINConv, GraphConv, SAGEConv, SGConv, TAGConv
label_desc: Use image node_id 1 to create a new SGC object from inherited base classes: nn with example: obj = SGC(g, in_feats, n_classes, n_hidden, k, bias)