Screening outstanding mechanical properties and low lattice thermal conductivity using global attention graph neural network

•Global attention graph neural network model was trained for 5 mechanical properties.•Mechanical properties of 775,947 structures from the million-scale open quantum material database were predicted in search of materials with ultrahigh hardness.•2 previously unreported super hard materials were identified.•Bulk modulus was used for screening low lattice thermal conductivity materials.