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MAGIK relies on attention-based fingerprinting graph blocks (FGNN; f ) sequentially applied N times to process G and provide an updated representation for nodes (V'' ; g ), edges (E'' ; h ) and global information (U' ; i ) (for further details regarding the FGNN architecture, refer to Methods ‘Description of MAGIK’ and Extended Data Fig. 1 ).

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