Neuro-semantic graph fusion for explainable depression risk trajectory mapping using a graph-enhanced RoBERTa framework.

Karthiga M, Joseph ER, Patil S, Saranya K

Open source

DOI
10.3389/frai.2026.1854179
Published
2026
Container
Frontiers in artificial intelligence
Publisher
Not recorded
Open access
yes

Credibility signals

uncertain Score 53/100 under policy 1.0.0. This is a metadata assessment, not a judgment of the paper's conclusions.

Show all credibility signals

Cite this work

BibTeX

@article{allodium:10.3389/frai.2026.1854179,
  title = {Neuro-semantic graph fusion for explainable depression risk trajectory mapping using a graph-enhanced RoBERTa framework.},
  author = {Karthiga M and Joseph ER and Patil S and Saranya K},
  year = {2026},
  journal = {Frontiers in artificial intelligence},
  doi = {10.3389/frai.2026.1854179},
  url = {https://doi.org/10.3389/frai.2026.1854179}
}

RIS

TY  - JOUR
TI  - Neuro-semantic graph fusion for explainable depression risk trajectory mapping using a graph-enhanced RoBERTa framework.
AU  - Karthiga M
AU  - Joseph ER
AU  - Patil S
AU  - Saranya K
PY  - 2026
JO  - Frontiers in artificial intelligence
DO  - 10.3389/frai.2026.1854179
UR  - https://doi.org/10.3389/frai.2026.1854179
ER  - 

APA

M, K., ER, J., S, P., & K, S. (2026). Neuro-semantic graph fusion for explainable depression risk trajectory mapping using a graph-enhanced RoBERTa framework.. Frontiers in artificial intelligence. https://doi.org/10.3389/frai.2026.1854179

Source records