The project, led by Associate Professor Yang Yang from from CCST, was supported by NSFC for Excellent Young Scholars in 2023. Prof. Yang has long been engaged in research on social network mining combining graph computation with social theory. This project aims to integrate network science theory to analyze common characteristics of graph structures across different fields. It also seeks to incorporate large-scale pre-training techniques to achieve a universally applicable large graph model with cross-disciplinary generalization.
