Hyperbolic matrix factorization improves prediction of drug-target associations

HIGHLIGHTS

• who: Aleksandar Poleksic from the DepartmentUniversity of have published the research work: Hyperbolic matrix factorization improves prediction of drug-target associations, in the Journal: Scientific Reports Scientific Reports
• what: The authors demonstrate that the Lorentzian model of hyperbolic space allows for a closed form expression of the key transformations and techniques required for latent space dimensionality reduction.

SUMMARY

In short, for µ ∈ Hd and positive definite, sampling from G (µ,=) can be thought of as a three step process: (a) Sample a vector x ∈ Tµ0 Hd from N (0,=), (b) Transport x . . .

 



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