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Network embedding is to learn a low-dimensional representation for a network in order to capture intrinsic features of the network. It has been applied to many applications, e.g., network community detection and user recommendation. One of the recent research topics for network embedding has been focusing on exploitation of diverse information, including network topology and semantic information on nodes of networks. However, such diverse information has not been fully utilized nor adequatelydoi:10.24963/ijcai.2018/473 dblp:conf/ijcai/JinG0HWZ18 fatcat:2aah5fxaurcrflwyuttqsobbcy