A paper by Li Yu, a 2018 Ph.D. candidate under the supervision of Prof. Chang Yi, was accepted at a CCF-A conference, . This paper was completed in cooperation with Prof. Zhang Jiayu of Florida State University.
Li Yu’s success is due tohis unremitting efforts in the past half year. Hope more students can take Li Yu as an example to achieve more success in the academic field.
Li Yu
Paper Information:
First Author: Li Yu
Title: Learning Network Embedding with Community Structural Information
Conference: International Joint Conference on Artificial Intelligence (IJcai) 2019
Conference Class: CCF-A
Conference Time: August 10-16, 2019, Macao, China
Summary:
NECS method is proposed by combining the high-order approximation of the nodes in the network with the community structure information to learn the embedded representation of nodes in the network (low-dimensional vector representation).
