code: def __call__(self, data):
      data = copy.copy(data)
      data.attn = torch.softmax(data.x, dim=0).flatten()
      data.x = None
      return data
  
file_path: pytorch_geometric/examples/triangles_sag_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
  import torch_geometric.transforms
  from torch_geometric.datasets import TUDataset
  from torch_geometric.loader import DataLoader
  from torch_geometric.nn import GCNConv, GINConv, SAGPooling, global_max_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