A multilingual heterogeneous knowledge graph framework for curriculum-vacancy-MOOC alignment: edge-weight regression with heterogeneous graph transformers for educational recommendation.
- DOI
- 10.3389/frai.2026.1906883
- Published
- 2026
- Container
- Frontiers in artificial intelligence
- Publisher
- Not recorded
- Open access
- yes
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Cite this work
BibTeX
@article{allodium:10.3389/frai.2026.1906883,
title = {A multilingual heterogeneous knowledge graph framework for curriculum-vacancy-MOOC alignment: edge-weight regression with heterogeneous graph transformers for educational recommendation.},
author = {Serikbayeva S and Sambetbayeva M and Ramazanova V and Lamasheva Z and Yerimbetova A and Makhatova V and Sadirmekova Z},
year = {2026},
journal = {Frontiers in artificial intelligence},
doi = {10.3389/frai.2026.1906883},
url = {https://doi.org/10.3389/frai.2026.1906883}
}RIS
TY - JOUR TI - A multilingual heterogeneous knowledge graph framework for curriculum-vacancy-MOOC alignment: edge-weight regression with heterogeneous graph transformers for educational recommendation. AU - Serikbayeva S AU - Sambetbayeva M AU - Ramazanova V AU - Lamasheva Z AU - Yerimbetova A AU - Makhatova V AU - Sadirmekova Z PY - 2026 JO - Frontiers in artificial intelligence DO - 10.3389/frai.2026.1906883 UR - https://doi.org/10.3389/frai.2026.1906883 ER -
APA
S, S., M, S., V, R., Z, L., A, Y., V, M., & Z, S. (2026). A multilingual heterogeneous knowledge graph framework for curriculum-vacancy-MOOC alignment: edge-weight regression with heterogeneous graph transformers for educational recommendation.. Frontiers in artificial intelligence. https://doi.org/10.3389/frai.2026.1906883
Source records
- pubmed · retrieved 2026-11-10T11:41:56.385Z