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in this work we saw motive preserving dynamic attributed network embedding problems that modules had other structures and the temporal evolution at the same time iamp;#39;m juju liu pursuing my masteramp;#39;s degree in thai university dr chow wong from jingdong finance professors yamayu and from ocean university of china networks in the real world often changes dynamically as time changes some new nodes may be added to the network some old nodes may be deleted from the network so ages in the network are often updated increasing or decreasing and another tributes may be changed the basic question of dynamic attributed networking bedding is how to embed historical dynamics into representation which requires us to learn the embedding of nodes from the constantly changing network structure and attributes however itamp;#39;s difficult to completely module the dynamics of network using only the parallax interaction between nodes prevail studies have found that high-level structures in th
