Projections of model spaces for latent graph inference

Projections of model spaces for latent graph inference

Graph Neural Networks leverage the connectivity structure of graphs as an inductive bias. Latent graph inference focuses on learning an adequate graph structure to diffuse information on. In this work we employ stereographic projections of the hyperbolic and spherical model spaces, as well as produc...

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Dettagli Bibliografici
Autori principali:	Posner, H, Arroyo, A, Sáez De Ocáriz Borde, H
Natura:	Conference item
Lingua:	English
Pubblicazione:	OpenReview 2023

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