Hong Qian 钱紘University of WashingtonProfessor Qian received his B.A. in Astrophysics from Peking University in China, and his Ph.D. in Biochemistry and Biophysics from Washington University School of Medicine in St. Louis. Subsequently, he worked as postdoctoral researcher at University of Oregon and Caltech on biophysical chemistry and mathematical biology. Before joining the University of W...
Graph neutral networks (GNN) are a prominent class of deep learning methods designed for tasks whose inputs are graphs. Many natural and social phenomena can be viewed as graphs that contain rich relation (link) information among elements (nodes). GNN focus on a unique non-Euclidean data structure for machine learning, performing tasks such as node classification, link prediction, and clusterin...
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