Cargando…
Knowledge graph empowerment from knowledge learning to graduation requirements achievement
A deep understanding of the relationship between the knowledge acquired and the graduation requirements is essential for students to precisely meet the graduation requirements and to become human resources with specific knowledge, skills and professionalism. In this paper, we define the ontology lay...
Autores principales: | Yang, Yangrui, Chen, Sisi, Zhu, Yaping, Zhu, Hao, Chen, Zhigang |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2023
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10569641/ https://www.ncbi.nlm.nih.gov/pubmed/37824573 http://dx.doi.org/10.1371/journal.pone.0292903 |
Ejemplares similares
-
Text-Graph Enhanced Knowledge Graph Representation Learning
por: Hu, Linmei, et al.
Publicado: (2021) -
A type-augmented knowledge graph embedding framework for knowledge graph completion
por: He, Peng, et al.
Publicado: (2023) -
Representation Learning: Recommendation With Knowledge Graph via Triple-Autoencoder
por: Geng, Yishuai, et al.
Publicado: (2022) -
Interpretable patent recommendation with knowledge graph and deep learning
por: Chen, Han, et al.
Publicado: (2023) -
Iterative heterogeneous graph learning for knowledge graph-based recommendation
por: Liu, Tieyuan, et al.
Publicado: (2023)