class_docstr: Implementation of R-GCN model.
      
code: def forward(self, g):
      h = self.nfeat
      for i in range(self.num_layers):
          h = self.rgcns[i](g, h)
  
      logits = self.linear(h)
      return logits
  
imports: import pgl
  import paddle
  import paddle.nn
label_desc: Use image node_id 2 for calling the RGCN obj's underlying member method code with example usage: obj.forward(g) and returns: logits