Answers are grounded in this paper and cite their sources.
We present WALKLETS, a novel approach for learning multiscale representations of vertices in a network. In contrast to previous works, these representations explicitly encode multi-scale vertex relationships in a way that is analytically derivable.
No takes yet. Share an insight, caveat, or question.
Perozzi et al. (2017) studied this question.
Synapse has enriched 7 closely related papers on similar clinical questions. Consider them for comparative context: