class_docstr: Embedding layer for featureless heterograph.
class_docstr_tok: ["Embedding","layer","for","featureless","heterograph","."]
code: def forward(self):
      return self.embeds
  
imports: import argparse
  import time
  import dgl
  import dgl.sparse
  import numpy
  import torch
  import torch.nn
  import torch.nn.functional
  from dgl.data.rdf import AIFBDataset, AMDataset, BGSDataset, MUTAGDataset
label_desc: Use image node_id 2 for calling the RelGraphEmbed obj's underlying member method code with example usage: obj.forward() and returns: self