A novel prediction approach driven by graph representation learning for heavy metal concentrations

Author:

Hao Huijuan,Li Panpan,Li Ke,Shan Yongping,Liu Feng,Hu Naiwen,Zhang Bo,Li Man,Sang Xudong,Xu Xiaotong,Lv Yuntao,Chen Wanming,Jiao Wentao

Funder

Chinese Academy of Sciences

Publisher

Elsevier BV

Reference64 articles.

1. Graph neural networks: a bibliometrics overview;Abdalsamad;Machine Learning with Applications,2022

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3. Heavy metal contamination prediction using ensemble model: case study of bay sedimentation, Australia;Bhagat;J. Hazard. Mater.,2020

4. Development of artificial intelligence for modeling wastewater heavy metal removal: state of the art, application assessment and possible future research;Bhagat;J. Clean. Prod.,2020

5. Prediction of lead (Pb) adsorption on attapulgite clay using the feasibility of data intelligence models;Bhagat;Environ. Sci. Pollut. Res.,2021

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