Peer-reviewedCC BY-NC-ND 4.0Scientific Reports
Dynamic user interest modeling and prediction integrating query box embedding with graph neural networks
Related
- Reservoir eutrophication prediction with explainable framework integrating temporal convolutional networks and bidirectional sequence modeling
- Parsing altered brain connectivity in neurodevelopmental disorders by integrating graph-based normative modeling and deep generative networks
- MDM-DDI: a drug–drug interaction prediction framework integrating multi-dimensional molecular features and memory-augmented networks
- Ensemble fire probability prediction by integrating meteorological AI models with lightweight prediction networks
- Integrating longitudinal mixed-effects modeling and XGBoost for chronic disease progression prediction
BibTeX
@article{wang2026dynamic,
title = {{Dynamic user interest modeling and prediction integrating query box embedding with graph neural networks}},
author = {Xu Wang},
journal = {Scientific Reports},
year = {2026},
month = oct,
doi = {10.1038/s41598-026-74718-7},
url = {https://www.nature.com/articles/s41598-026-74718-7},
note = {CC BY-NC-ND 4.0},
}
RIS
TY - JOUR
TI - Dynamic user interest modeling and prediction integrating query box embedding with graph neural networks
AU - Xu Wang
PY - 2026
DA - 2026/10/09
JO - Scientific Reports
DO - 10.1038/s41598-026-74718-7
UR - https://www.nature.com/articles/s41598-026-74718-7
SN - 2045-2322
ER -