class_docstr: Implement of GCN
class_docstr_tok: ["Implement","of","GCN"]
code: def forward(self, graph, feature):
      for m in self.gcns:
          if isinstance(m, nn.Dropout):
              feature = m(feature)
          else:
              feature = m(graph, feature)
      return feature
  
imports: import pgl
  import paddle.nn
  import paddle.nn.functional
label_desc: Use image node_id 2 for calling the GCN obj's underlying member method code with example usage: obj.forward(graph, feature) and returns: feature