code: def forward(self, graph, feats):
      feats = self.dropout(feats)
      for layer in self.layers:
          feats = layer(graph, feats)
  
      feats = self.fc_layers(feats)
  
      return feats
  
file_path: dgl/examples/pytorch/mixhop/main.py
imports: import argparse
  import copy
  import random
  import dgl
  import dgl.function
  import numpy
  import torch
  import torch.nn
  import torch.optim
  from dgl.data import CiteseerGraphDataset, CoraGraphDataset, PubmedGraphDataset
  from tqdm import trange
label_desc: Use image node_id 2 for calling the MixHop obj's underlying member method code with example usage: obj.forward(graph, feats) and returns: feats