GeoMAE : Masking representation learning for spatio-temporal graph forecasting with missing values.
- DOI
- 10.1016/j.neunet.2026.108986
- Published
- 2026 Oct
- 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.2026.108986,
title = {GeoMAE : Masking representation learning for spatio-temporal graph forecasting with missing values.},
author = {Ke S and Wu C and Liang Y and Qin H and Zhang J and Zheng Y},
year = {2026},
journal = {Neural networks : the official journal of the International Neural Network Society},
doi = {10.1016/j.neunet.2026.108986},
url = {https://doi.org/10.1016/j.neunet.2026.108986}
}RIS
TY - JOUR TI - GeoMAE : Masking representation learning for spatio-temporal graph forecasting with missing values. AU - Ke S AU - Wu C AU - Liang Y AU - Qin H AU - Zhang J AU - Zheng Y PY - 2026 JO - Neural networks : the official journal of the International Neural Network Society DO - 10.1016/j.neunet.2026.108986 UR - https://doi.org/10.1016/j.neunet.2026.108986 ER -
APA
S, K., C, W., Y, L., H, Q., J, Z., & Y, Z. (2026). GeoMAE : Masking representation learning for spatio-temporal graph forecasting with missing values.. Neural networks : the official journal of the International Neural Network Society. https://doi.org/10.1016/j.neunet.2026.108986
Source records
- pubmed · retrieved 2026-09-26T07:45:26.680Z