Uncertain Knowledge Graph Embedding Using Auxiliary Information

Uncertain knowledge graphs (UKGs) offer a more realistic representation of knowledge by capturing the uncertainty associated with facts. However, existing UKG embedding methods primarily rely on structural information for confidence score prediction, neglecting other sources of uncertainty. This pap...

Popoln opis

Bibliografske podrobnosti

Principais autores:	Adil Bahaj, Mounir Ghogho
Format:	Artigo
Jezik:	Inglês
Izdano:	IEEE 2024-01-01
Serija:	IEEE Access
Teme:	Uncertain knowledge graphs knowledge graph embedding box embedding confidence prediction
Online dostop:	https://ieeexplore.ieee.org/document/10623627/
Oznake:	Označite Brez oznak, prvi označite!