code: def get_normalized_init_adj(graph):
      adj = graph.adjacency_matrix_scipy(return_edge_ids=False)
      adj = normalize_sparse_adj(adj)
      adj = sparse_mx_to_torch_sparse_tensor(adj)
  
      return adj
  
imports: import argparse
  import os
  import time
  import dgl
  import dgl.function
  import networkx
  import numpy
  import torch
  import torch.backends.cudnn
  import torch.nn
  import torch.nn.functional
  from dgl import DGLGraph
  from dgl.data import load_data, register_data_args
  from scipy import sparse
  from ...modules.graph_construction import NodeEmbeddingBasedGraphConstruction, NodeEmbeddingBasedRefinedGraphConstruction
  from ...modules.utils.vocab_utils import VocabModel
  from ..utils import EarlyStopping
label_desc: Use image node_id 7 for calling a global function with example usage: get_normalized_init_adj(graph) and returns: adj