Personalized talent cultivation and academic prediction framework for higher education based on the HA-GNN-LSTM architecture
- DOI
- 10.1038/s41598-026-59218-y
- Published
- 2026-06-22
- Container
- Scientific Reports
- Publisher
- Springer Science and Business Media LLC
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1038/s41598-026-59218-y,
title = {Personalized talent cultivation and academic prediction framework for higher education based on the HA-GNN-LSTM architecture},
author = {Qi Gong and Jing Shi},
year = {2026},
journal = {Scientific Reports},
doi = {10.1038/s41598-026-59218-y},
url = {https://doi.org/10.1038/s41598-026-59218-y}
}RIS
TY - JOUR TI - Personalized talent cultivation and academic prediction framework for higher education based on the HA-GNN-LSTM architecture AU - Qi Gong AU - Jing Shi PY - 2026 JO - Scientific Reports DO - 10.1038/s41598-026-59218-y UR - https://doi.org/10.1038/s41598-026-59218-y ER -
APA
Gong, Q., & Shi, J. (2026). Personalized talent cultivation and academic prediction framework for higher education based on the HA-GNN-LSTM architecture. Scientific Reports. https://doi.org/10.1038/s41598-026-59218-y
Source records
- crossref · retrieved 2026-09-26T05:01:55.044Z