Hyperbolic Graph Representation Learning: Embed in One Metric, Optimize with Another
Hierarchical graphs embed in hyperbolic space with lower distortion than in Euclidean space owing to its negative curvature. However, their gradient-based learning is hampered at large radii, where the Poincar\'e ball and the Lorentz hyperboloid models fail numerically. Polar coordinates avoid this problem, but the hyp...
Federico Larroca, P. Bermolen, Marcelo Fiori et al.
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