Ada-TransGNN: An Air Quality Prediction Model Based On Adaptive Graph Convolutional Networks

Bibliographic Details
Title:	Ada-TransGNN: An Air Quality Prediction Model Based On Adaptive Graph Convolutional Networks
Authors:	Wang, Dan^Aff14, Jiang, Feng^Aff15, Wang, Zhanquan^Aff14
Contributors:	Goos, Gerhard, Founding Editor^Aff1, Hartmanis, Juris, Founding Editor^Aff2, Bertino, Elisa, Series Editor^Aff3, Gao, Wen, Series Editor^Aff4, Steffen, Bernhard, Series Editor^Aff5, Yung, Moti, Series Editor^Aff6, Taniguchi, Tadahiro, editor^Aff7, Leung, Chi Sing Andrew, editor^Aff8, Kozuno, Tadashi, editor^Aff9, Yoshimoto, Junichiro, editor^Aff10, Mahmud, Mufti, editor^Aff11, Doborjeh, Maryam, editor^Aff12, Doya, Kenji, editor^Aff13
Source:	Neural Information Processing : 32nd International Conference, ICONIP 2025, Okinawa, Japan, November 20–24, 2025, Proceedings, Part IV. 16312:235-249
Database:	Springer Nature eBooks

Description
ISBN:	9789819543830 9789819543847
DOI:	10.1007/978-981-95-4384-7_17