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Presently, many users are involved in multiple social networks. Identifying the same user in different networks, also known as anchor link prediction, becomes an important problem, which can serve numerous applications, e.g., cross-network recommendation, user profiling, etc. Previous studies mainly use hand-crafted structure features, which, if not carefully designed, may fail to reflect the intrinsic structure regularities. Moreover, most of the methods neglect the attribute information ofdoi:10.3390/e21030254 pmid:33266969 pmcid:PMC7514735 fatcat:sfvuzfcherdnbilirbavcmcisq