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 ...

Sub-headline: HUST researchers systematize SNA methods, building an evolutionary taxonomy based on graph representation ...

With the growing use of multiple social platforms, aligning user identities across networks, known as Social Network Alignment (SNA), has become ...

Multiomics data integration with machine learning has become the standard approach for combining genomic, transcriptomic, proteomic, and metabolomic measurements collected from the same biological ...