The Network Science and Cognitive Intelligence Laboratory, led by Professor Jiao Pengfei, focuses on research into graph neural networks and their wide applications. The laborato ry is dedicated to advancing the learning of complex graph representations, comprehensiv ely analyzing complex network structures from topological, semantic, and temporal dimensi ons; deeply exploring the trust and security of graph models, with a focus on robust gene ralization, security protection, and trust enhancement techniques; and applying cutting-edg e graph intelligence algorithms to key application areas such as financial security, system security, and social security in the context of intelligent domain scenarios. In recent years, the laboratory has published numerous high-impact papers in top conferences and journals in the fields of artificial intelligence and data mining, including NeurIPS, ICLR, KDD, AAAI, and IJC AI, establishing a strong academic reputation.