Table presents formation energy prediction on the three materials from the MP18 dataset under seven different supercell configurations from which mp -5229 is completely unseen. It is evident that COMPGNN-Large significantly outperforms GEOCGNN demonstrating better resilience to supercell configuration. Figure demonstrates the predictive performance of COMPGNN variants achieving a minimal energy errors on supercells w.r.t three original crystal structures, namely mp-2657, mp-5827, and mp-5229.