code: def get_timeseries_graph_data():
      featuresX = np.random.rand(10, 5, 4)
      featuresY = np.random.rand(10, 5)
      adj = np.random.randint(0, 5, size=(5, 5))
      return featuresX, featuresY, adj
  
imports: import numpy
  import pandas
  import pytest
  from tensorflow.keras import Model
  from stellargraph import StellarGraph, IndexedArray
  from stellargraph.layer import GCN_LSTM
  from stellargraph.layer import FixedAdjacencyGraphConvolution
  from stellargraph.mapper import SlidingFeaturesNodeGenerator
  from ..None import test_utils
label_desc: Use image node_id 1 for calling a global function with example usage: get_timeseries_graph_data() and returns: featuresX,  featuresY,  adj