SANS regression

The Small-Angle Neutron Scattering (SANS) regression task aims to predict the SANS scattering intensity of nanomaterials through their graph structures. This task leverages advanced algorithms such as Graph Neural Networks to achieve efficient modeling and prediction of the physical properties of nanomaterials, providing crucial data support for research in materials science and promoting the design and development of new materials.