Cargando…
A joint network of non-linear graph attention and temporal attraction force for geo-sensory time series prediction
Geo-sensory time series, such as the air quality and water distribution, are collected from numerous sensors at different geospatial locations in the same time interval. Each sensor monitors multiple parameters and generates multivariate time series. These time series change over time and vary geogr...
Autores principales: | Dong, Hongbin, Han, Shuang, Pang, Jinwei, Yu, Xiaodong |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer US
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9803260/ https://www.ncbi.nlm.nih.gov/pubmed/36618120 http://dx.doi.org/10.1007/s10489-022-04412-4 |
Ejemplares similares
-
Attractive faces temporally modulate visual attention
por: Nakamura, Koyo, et al.
Publicado: (2014) -
A Temporal Window Attention-Based Window-Dependent Long Short-Term Memory Network for Multivariate Time Series Prediction
por: Han, Shuang, et al.
Publicado: (2022) -
Learning temporal attention in dynamic graphs with bilinear interactions
por: Knyazev, Boris, et al.
Publicado: (2021) -
TemporalGAT: Attention-Based Dynamic Graph Representation Learning
por: Fathy, Ahmed, et al.
Publicado: (2020) -
A Graph Neural Network with Spatio-Temporal Attention for Multi-Sources Time Series Data: An Application to Frost Forecast †
por: Lira, Hernan, et al.
Publicado: (2022)