CSNE: Conditional Signed Network Embedding

Alexandru Cristian Mara, Yoosof Mashayekhi, Jefrey Lijffijt, Tijl De Bie · 2020

Signed networks are mathematical structures that encode positive and negative relations between entities such as friend/foe or trust/distrust. Recently, several papers studied the construction of useful low-dimensional representations (embeddings) of these networks for the prediction of missing relations or signs. Existing network embedding methods for sign prediction, however, generally enforce different notions of status or balance theories in their optimization function. These theories, are often inaccurate or incomplete which negatively impacts method performance.

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