Finally, in an absolute performance analysis test, we select the bestperforming light and large COMPGNN variants to demonstrate our methodology's capabilities on the Matbench benchmark. We compare against current state-of-the-art methods across various prediction tasks in Table . Both COMPGNN variants maintain a very competitive performance against the best performer, coGN. Notably, COMPGNN-Large scores best in predicting metallicity while scoring very closely to the best in most prediction tasks. and for the best performing methods. Smaller values are better.