code: def get_model(
      supergraph: SuperGraph, cfg: CfgNode
  ) -> GripNetLinkPrediction:
      """Get model from the supergraph and configurations."""
  
      learning_rate = cfg.SOLVER.BASE_LR
      epsilon = cfg.SOLVER.EPSILON
  
      return GripNetLinkPrediction(supergraph, learning_rate, epsilon)
  
imports: from yacs.config import CfgNode
  from kale.predict.decode import GripNetLinkPrediction
  from kale.prepdata.supergraph_construct import SuperGraph, SuperVertexParaSetting
label_desc: Use image node_id 2 for calling a global function with example usage: get_model(supergraph, cfg) and returns: GripNetLinkPrediction