code: def forward(self, features):
      h = self.proj(features)
      for layer in self.layers:
          h = layer(self.g, h)
      return self.cls(h)
  
imports: import torch
  import torch.nn
  from dgl.nn.pytorch import AGNNConv, APPNPConv, ChebConv, GATConv, GINConv, GraphConv, SAGEConv, SGConv, TAGConv
label_desc: Use image node_id 2 for calling the AGNN obj's underlying member method code with example usage: obj.forward(features) and returns: self