Knowledge graph embedding by fusing multimodal content via cross-modal learning

Knowledge graph embedding by fusing multimodal content via cross-modal learning

Knowledge graph embedding aims to learn representation vectors for the entities and relations. Most of the existing approaches learn the representation from the structural information in the triples, which neglects the content related to the entity and relation. Though there are some approaches prop...

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Bibliographic Details
Main Authors: Shi Liu, Kaiyang Li, Yaoying Wang, Tianyou Zhu, Jiwei Li, Zhenyu Chen
Format: Article
Language:English
Published: AIMS Press 2023-06-01
Series:Mathematical Biosciences and Engineering
Subjects:
knowledge graph
embedding learning
graph embedding
multimodal learning
cross-modal correlation
Online Access:https://www.aimspress.com/article/doi/10.3934/mbe.2023634?viewType=HTML

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https://www.aimspress.com/article/doi/10.3934/mbe.2023634?viewType=HTML

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