# The Effects of Randomness on the Stability of Node Embeddings

20 May 2020Tobias SchumacherHinrikus WolfMartin RitzertFlorian LemmerichJan BachmannFlorian FrantzenMax KlabundeMartin GroheMarkus Strohmaier

We systematically evaluate the (in-)stability of state-of-the-art node embedding algorithms due to randomness, i.e., the random variation of their outcomes given identical algorithms and graphs. We apply five node embeddings algorithms---HOPE, LINE, node2vec, SDNE, and GraphSAGE---to synthetic and empirical graphs and assess their stability under randomness with respect to (i) the geometry of embedding spaces as well as (ii) their performance in downstream tasks... (read more)

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