Network sampling in social graphs encompasses a suite of methodologies designed to extract representative subsets from large‐scale networks, enabling analysis when complete data are unavailable or ...
Heterogeneous graph representation learning seeks to map complex networks containing multiple types of nodes and relations into low-dimensional vector spaces while preserving semantic, structural and, ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results