Studies from Beijing University of Posts and Telecommunications Provide New Data on Applied Intelligence (Social Network Alignment: a Bi-layer Graph Attention Neural Networks Based Method)

摘要

By a News Reporter-Staff News Editor at Network Daily News – Current study results on Applied Intelligence have been published. According to news originating from Beijing, People’s Republic of China, by NewsRx correspondents, research stated, “The task of social network alignment is to identify the user nodes which are active in multiple social networks simultaneously, thus the information from multiple social networks can be integrated to conduct some downstream tasks. Existing network alignment methods mostly establish anchor link prediction models using user profile information or the structural similarities in social networks, which may not effectively model user nodes, thus affecting the effectiveness of social network alignment.”