Abstract: Pattern counting is a fundamental computational graph mining task. Recently, extensive research has been conducted on approximate pattern counting, but existing algorithms are not scalable, ...
Abstract: Guessing random additive noise decoding (GRAND) is a capacity-approaching universal algorithm. The GRAND Markov order (GRAND-MO) variant is effective to correct burst errors in a Markov ...
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