Network representation learning in the context of social networks seeks to encode the nodes and their relationships into low-dimensional, continuous vector spaces while preserving both local ...
Association in-between features has been demonstrated to improve the representation ability of data. However, the original association data reconstruction method may face two issues: the dimension of ...
Multiomics data integration with machine learning has become the standard approach for combining genomic, transcriptomic, proteomic, and metabolomic measurements collected from the same biological ...
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