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

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...

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Bibliographic Details
Main Authors: Longxin Lin, Huaibin Qin, Quan Qi, Rui Gu, Pengxiang Zuo, Yongqiang Cheng
Format: Article
Language:English
Published: KeAi Communications Co., Ltd. 2025-01-01
Series:International Journal of Intelligent Networks
Subjects:
Intelligent networks
Knowledge graph embedding
Hyperbolic geometry
Poincaré ball
Link prediction
Online Access:http://www.sciencedirect.com/science/article/pii/S266660302500003X
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