code: def forward(self, g):
      x = self.emb.weight
      h = F.relu(self.conv1(g, x, g.edata[dgl.ETYPE], g.edata["norm"]))
      h = self.conv2(g, h, g.edata[dgl.ETYPE], g.edata["norm"])
      return h
  
file_path: dgl/examples/pytorch/rgcn/entity.py
imports: import argparse
  import dgl
  import torch
  import torch.nn
  import torch.nn.functional
  from dgl.data.rdf import AIFBDataset, AMDataset, BGSDataset, MUTAGDataset
  from dgl.nn.pytorch import RelGraphConv
  from torchmetrics.functional import accuracy
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: h