code: def __call__(self, data):
      data = copy.copy(data)
      data.attn = torch.softmax(data.x[:, 0], dim=0)
      data.x = data.x[:, 1:]
      return data
  
file_path: pytorch_geometric/examples/colors_topk_pool.py
imports: import copy
  import os.path
  import torch
  import torch.nn.functional
  from torch.nn import Linear
  from torch.nn import ReLU
  from torch.nn import Sequential
  from torch_geometric.datasets import TUDataset
  from torch_geometric.loader import DataLoader
  from torch_geometric.nn import GINConv, TopKPooling, global_add_pool
  from torch_geometric.utils import scatter
label_desc: Use image node_id 1 for calling the HandleNodeAttention obj's underlying member method code with example usage: obj.__call__(data) and returns: data