code: def get_graph_node_features(graph):
      if isinstance(graph, GeneralStaticGraph):
          if BACKEND == "dgl" and "feat" in graph.nodes.data:
              return graph.nodes.data["feat"]
          if BACKEND == "pyg" and "x" in graph.nodes.data:
              return graph.nodes.data["x"]
          return None
      if BACKEND == "pyg" and hasattr(graph, "x"):
          return graph.x
      elif BACKEND == "dgl":
          if "feat" in graph.ndata:
              return graph.ndata["feat"]
          else:
              return graph.ndata["attr"]
      return None
  
imports: import random
  import typing
  import torch
  import torch.backends.cudnn
  import numpy
  import pandas
  from ..backend import DependentBackend
  from ..data import Dataset
  from ..data.graph import GeneralStaticGraph
  from ..utils import get_logger
label_desc: Use image node_id 3 for calling a global function with example usage: get_graph_node_features(graph) and returns: None, None, graph, graph, graph, graph, graph