code: def forward(self, x, y, edge_index, label_mask):
      x = self.label_emb(x, y, label_mask)
      for conv, norm in zip(self.convs, self.norms):
          x = norm(conv(x, edge_index)).relu()
      return self.convs[-1](x, edge_index)
  
file_path: pytorch_geometric/examples/unimp_arxiv.py
imports: import os.path
  import torch
  import torch.nn.functional
  from ogb.nodeproppred import PygNodePropPredDataset
  import torch_geometric.transforms
  from torch_geometric.nn import MaskLabel, TransformerConv
  from torch_geometric.utils import index_to_mask
label_desc: Use image node_id 2 for calling the UniMP obj's underlying member method code with example usage: obj.forward(x, y, edge_index, label_mask) and returns: self