code: def get_edge_array(n_count):
      return np.array(
          [edge for edge in nx.gnp_random_graph(n_count, 0.1).edges()]
      ).T
  
file_path: pytorch_geometric_temporal/test/heterogeneous_test.py
imports: import torch
  import numpy
  import networkx
  import torch_geometric.transforms
  from torch_geometric.data import HeteroData
  from torch_geometric_temporal.nn.hetero import HeteroGCLSTM
label_desc: Use image node_id 1 for calling a global function with example usage: get_edge_array(n_count) and returns: np