A0406
Title: Graph encoder embedding
Authors: Cencheng Shen - University of Delaware (United States) [presenting]
Abstract: The purpose is to discuss the graph encoder embedding, its theoretical properties under random graph models, its scalability and numerical performance in vertex classification and clustering, as well as recent method advancements, including refined embedding and principal embedding.
