A cutting-edge research collaboration between artificial intelligence and classical numerical methods in computational mechanics has been featured as the additional cover of the January 2023 issue of the International Journal of Numerical Methods in Engineering. The paper, authored by mechanical engineering doctoral candidate Junyan (Jimmy) He and three other researchers, uses a graph convolutional network to solve the momentum balance equation in three-dimensional space for the deformation of linear elastic and hyperelastic materials.