A Deep Learning Approach Using Graph Neural Networks for Anomaly Detection in Air Quality Data Considering Spatiotemporal Correlations

Xiaoling Lin, Hongzhang Wang, Jing Guo, Gang Mei. A Deep Learning Approach Using Graph Neural Networks for Anomaly Detection in Air Quality Data Considering Spatiotemporal Correlations. IEEE Access, 10:94074-94088, 2022. [doi]

@article{LinWGM22,
  title = {A Deep Learning Approach Using Graph Neural Networks for Anomaly Detection in Air Quality Data Considering Spatiotemporal Correlations},
  author = {Xiaoling Lin and Hongzhang Wang and Jing Guo and Gang Mei},
  year = {2022},
  doi = {10.1109/ACCESS.2022.3204284},
  url = {https://doi.org/10.1109/ACCESS.2022.3204284},
  researchr = {https://researchr.org/publication/LinWGM22},
  cites = {0},
  citedby = {0},
  journal = {IEEE Access},
  volume = {10},
  pages = {94074-94088},
}