Work

CSNE: Conditional Signed Network Embedding

Year: 2020

Type: conference-paper

Abstract: 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.

Source: Proceedings of the ... ACM International Conference on Information & Knowledge Management

DOI: 10.1145/3340531.3411959

Authors: Alexandru Mara, Yoosof Mashayekhi, Jefrey Lijffijt, Tijl de Bie

Institution: Ghent University

Language: English

Topic: Advanced Graph Neural Networks

Subfield: Artificial Intelligence

Field: Computer Science

Domain: Physical Sciences

Open Access status: hybrid

Funders: European Commission, Fonds Wetenschappelijk Onderzoek, Vlaamse regering