Multimodal transformer and directed relational graph learning for emotion recognition in conversations with potential applications in college student mental health research.
- DOI
- 10.3389/fpsyg.2026.1867034
- Published
- 2026
- Container
- Frontiers in psychology
- Publisher
- Not recorded
- Open access
- yes
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limited evidence Score 45/100 under policy 1.0.0. This is a metadata assessment, not a judgment of the paper's conclusions.
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Cite this work
BibTeX
@article{allodium:10.3389/fpsyg.2026.1867034,
title = {Multimodal transformer and directed relational graph learning for emotion recognition in conversations with potential applications in college student mental health research.},
author = {Zhao J and Liu F},
year = {2026},
journal = {Frontiers in psychology},
doi = {10.3389/fpsyg.2026.1867034},
url = {https://doi.org/10.3389/fpsyg.2026.1867034}
}RIS
TY - JOUR TI - Multimodal transformer and directed relational graph learning for emotion recognition in conversations with potential applications in college student mental health research. AU - Zhao J AU - Liu F PY - 2026 JO - Frontiers in psychology DO - 10.3389/fpsyg.2026.1867034 UR - https://doi.org/10.3389/fpsyg.2026.1867034 ER -
APA
J, Z., & F, L. (2026). Multimodal transformer and directed relational graph learning for emotion recognition in conversations with potential applications in college student mental health research.. Frontiers in psychology. https://doi.org/10.3389/fpsyg.2026.1867034
Source records
- pubmed · retrieved 2026-11-10T10:42:41.435Z