class_docstr_tok: []
code: def compute_akx(self, num_nodes, x, edge_index, edge_weight=None):
      if self.AK is None or self.AK <= 0:
          return self.empty_feature(num_nodes)
  
imports: import torch
  import torch.nn
  import torch.nn.functional
  from torch_geometric.nn.conv import MessagePassing
  from torch_geometric.utils import degree, remove_self_loops, add_self_loops
label_desc: Use image node_id 4 for calling the FeatureExpander obj's underlying member method code with example usage: obj.compute_akx(num_nodes, x, edge_index, edge_weight) and returns: self