Graph-theoretical structural chemistry has emerged as a transformative approach, converting the microstructures of materials into mathematical graph models. In recent years, this methodology has demonstrated remarkable capabilities in representation and prediction across diverse fields, including materials genomics and the exploration of catalytic activity. The research team, under the leadership of Professor Pan Feng from the School of New Materials at Peking University Shenzhen Graduate School, has been a pioneer in extending and applying this innovative technique.