Cost-effective and scalable traffic forecasting: A graph-free multi-view MLP architecture.
- DOI
- 10.1016/j.neunet.2026.109454
- Published
- 2026 Aug 5
- Container
- Neural networks : the official journal of the International Neural Network Society
- Publisher
- Not recorded
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1016/j.neunet.2026.109454,
title = {Cost-effective and scalable traffic forecasting: A graph-free multi-view MLP architecture.},
author = {Jin G and Lai S and Hao X and Zhang M and Zhou T and Zhang J},
year = {2026},
journal = {Neural networks : the official journal of the International Neural Network Society},
doi = {10.1016/j.neunet.2026.109454},
url = {https://doi.org/10.1016/j.neunet.2026.109454}
}RIS
TY - JOUR TI - Cost-effective and scalable traffic forecasting: A graph-free multi-view MLP architecture. AU - Jin G AU - Lai S AU - Hao X AU - Zhang M AU - Zhou T AU - Zhang J PY - 2026 JO - Neural networks : the official journal of the International Neural Network Society DO - 10.1016/j.neunet.2026.109454 UR - https://doi.org/10.1016/j.neunet.2026.109454 ER -
APA
G, J., S, L., X, H., M, Z., T, Z., & J, Z. (2026). Cost-effective and scalable traffic forecasting: A graph-free multi-view MLP architecture.. Neural networks : the official journal of the International Neural Network Society. https://doi.org/10.1016/j.neunet.2026.109454
Source records
- pubmed · retrieved 2026-09-26T10:12:21.206Z