Speaker：Di Jin（Tianjin University）

Time：2023-02-08, 15:00

Location：Tencent Meeting ID：579-922-4321（No Password）

Abstract:

Graph neural network (GNN) has quickly gained the favor of academic and industrial communities since it was proposed, and has become a hot topic in AI research. This report firstly introduces the modeling and solving methods of GNN for complex graph structure. It then introduces the GNN design method that makes GNN smarter, and how to introduce knowledge and reasoning. Finally, the application of GNN in e-commerce search and recommendation is introduced.