In conclusion, we assessed the performance of both CML and GNN based ML models for predicting E f and E g across three datasets. Through examination of R 2 scores, MAE values, and time consumption per data point, we identified the GATGNN model as the top performer, displaying exceptional prediction accuracy and computational efficiency simultaneously.