Mar 8, 2021 · In this paper, we propose an Attentive Temporal Graph Convolutional Network (ATGCN) to model diverse inter-station relationships for air quality ...

An Attentive Temporal Graph Convolutional Network (ATGCN) is proposed to model diverse inter-station relationships for air quality prediction of citywide ...

Mar 12, 2021 · In this paper, we propose an Attentive Temporal Graph Convolutional. Network (ATGCN) to model diverse inter-station relationships for air ...

The deep learning has an inherent feature extraction capability that helps to predict air quality accurately with reduced complexity.

Aug 16, 2023 · In this paper, we propose a novel deep learning model, the spatiotemporal adaptive attention graph convolution model, for city-level air quality ...

Air Quality City Meterology, ATGCN, Modeling Inter-station Relationships with Attentive Temporal Graph Convolutional Network for Air Quality Prediction, None ...

Aug 1, 2024 · To improve the accuracy of air quality forecasting, this work proposes a new spatiotemporal hybrid deep learning model based on variational mode ...

Modeling inter-station relationships with attentive temporal graph convolutional network for air quality prediction. In Proceedings of the 14th ACM ...

The technique introduced in this work is an Attention Temporal Graph Convolutional Network based on a combination of Attention, a Gated Recurrent Unit and a ...