Multi-relation-pattern knowledge graph embeddings for link prediction in hyperbolic space

The aim of Knowledge Graph Embedding (KGE) is to acquire low-dimensional representations of entities and relationships for the purpose of predicting new valid triples, thereby enhancing the functionality of intelligent networks that rely on accurate data representation. In recommendation systems, fo...

Ausführliche Beschreibung

Bibliografische Detailangaben

Hauptverfasser:	Longxin Lin, Huaibin Qin, Quan Qi, Rui Gu, Pengxiang Zuo, Yongqiang Cheng
Format:	Artigo
Sprache:	Inglês
Veröffentlicht:	KeAi Communications Co., Ltd. 2025-01-01
Schriftenreihe:	International Journal of Intelligent Networks
Schlagworte:	Intelligent networks Knowledge graph embedding Hyperbolic geometry Poincaré ball Link prediction
Online-Zugang:	http://www.sciencedirect.com/science/article/pii/S266660302500003X
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