Large-scale network motif analysis using compression
نویسندگان
چکیده
منابع مشابه
Large-Scale Network Motif Learning with Compression
We introduce a new learning method for network motifs: interesting or informative subgraph patterns in a network. Current methods for finding motifs rely on the frequency of the motif: specifically, subgraphs are motifs when their frequency in the data is high compared to the expected frequency under a null model. To compute this expectation, the search for motifs is normally repeated on as man...
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ژورنال
عنوان ژورنال: Data Mining and Knowledge Discovery
سال: 2020
ISSN: 1384-5810,1573-756X
DOI: 10.1007/s10618-020-00691-y