HKD-MGIN: a physics informed graph neural network using heat kernel diffusion for mapping adolescent functional brain connectivity.
- DOI
- 10.1007/s44379-025-00038-8
- Published
- 2025 Dec
- Container
- Machine learning for computational science and engineering
- Publisher
- Not recorded
- Open access
- yes
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Cite this work
BibTeX
@article{allodium:10.1007/s44379-025-00038-8,
title = {HKD-MGIN: a physics informed graph neural network using heat kernel diffusion for mapping adolescent functional brain connectivity.},
author = {Patel B and Habeeb Z},
year = {2025},
journal = {Machine learning for computational science and engineering},
doi = {10.1007/s44379-025-00038-8},
url = {https://doi.org/10.1007/s44379-025-00038-8}
}RIS
TY - JOUR TI - HKD-MGIN: a physics informed graph neural network using heat kernel diffusion for mapping adolescent functional brain connectivity. AU - Patel B AU - Habeeb Z PY - 2025 JO - Machine learning for computational science and engineering DO - 10.1007/s44379-025-00038-8 UR - https://doi.org/10.1007/s44379-025-00038-8 ER -
APA
B, P., & Z, H. (2025). HKD-MGIN: a physics informed graph neural network using heat kernel diffusion for mapping adolescent functional brain connectivity.. Machine learning for computational science and engineering. https://doi.org/10.1007/s44379-025-00038-8
Source records
- pubmed · retrieved 2026-09-25T11:33:39.410Z
- europe-pmc · retrieved 2026-09-25T11:33:39.428Z