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What is: VERtex Similarity Embeddings?

SourceVERSE: Versatile Graph Embeddings from Similarity Measures
Year2000
Data SourceCC BY-SA - https://paperswithcode.com

VERtex Similarity Embeddings (VERSE) is a simple, versatile, and memory-efficient method that derives graph embeddings explicitly calibrated to preserve the distributions of a selected vertex-to-vertex similarity measure. VERSE learns such embeddings by training a single-layer neural network.

Source: Tsitsulin et al.

Image source: Tsitsulin et al.