Log Fire

Conformal Inductive Grap

Conformal Inductive Graph
Conformal Inductive Graph Neural Networks

Conformal prediction (CP) transforms any model’s output into prediction sets guaranteed to include (cover) the true label. CP requires exchangeability, a relaxation of the i.i.d. assumption, to obtain a valid distribution-free coverage guarantee. This makes it directly applicable to transductive nod…

Similar Posts

Leave a Reply

Your email address will not be published. Required fields are marked *