Node Embeddings and Exact Low-Rank Representations of Complex Networks

10 Jun 2020Sudhanshu ChanpuriyaCameron MuscoKonstantinos SotiropoulosCharalampos E. Tsourakakis

Low-dimensional embeddings, from classical spectral embeddings to modern neural-net-inspired methods, are a cornerstone in the modeling and analysis of complex networks. Recent work by Seshadhri et al. (PNAS 2020) suggests that such embeddings cannot capture local structure arising in complex networks... (read more)

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