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Model-independent embedding of directed networks into Euclidean and hyperbolic spaces

Computer Science

Model-independent embedding of directed networks into Euclidean and hyperbolic spaces

B. Kovács and G. Palla

Discover how Bianka Kovács and Gergely Palla have developed a groundbreaking model-independent framework to embed directed networks into both Euclidean and hyperbolic spaces. Their innovative techniques promise high-quality embeddings that could lead to significant advancements in network analysis!

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Playback language: English
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