On September 11st, Professor Cheng Dawei from the School of Computer Science and Technology at Tongji University conducted an online lecture via Tencent Meeting. Centered on the theme "Research on Deep Graph Learning-Based Financial Anti-Fraud Models," he delivered an academic feast for faculty and students, focusing on the intersection of cutting-edge technology and financial security. The lecture was chaired by Professor Wang Guoqiang, Dean of the School of Mathematics, Physics and Statistics.

During the lecture, Professor Cheng shared in-depth insights into the application of deep graph learning in financial anti-fraud scenarios. As an experienced researcher in this field, he systematically elaborated on the core principles and developmental trajectory of deep graph learning technology. He also explained how to construct efficient and accurate anti-fraud models to address key challenges such as the complex correlations in financial data and the concealed nature of fraudulent behaviors. His presentation offered an academic sharing that combined theoretical depth with practical value.