Conditional Variational Graph Autoencoder for Air Pollution Forecasting

Esther Rodrigo Bonet; Tien Do Huu; Xuening Qin; Jelle Hofman; Valerio Panzica La Manna; Wilfried Philips; Nikos Deligiannis

Conditional Variational Graph Autoencoder for Air Pollution Forecasting

Esther Rodrigo Bonet, Tien Do Huu, Xuening Qin, Jelle Hofman, Valerio Panzica La Manna, Wilfried Philips, Nikos Deligiannis

Research output: Chapter in Book/Report/Conference proceeding › Conference paper

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Original language	English
Title of host publication	2022 30th European Signal Processing Conference (EUSIPCO)
Publisher	IEEE
Pages	1442-1446
ISBN (Print)	978-1-6654-6798-8
Publication status	Published - 18 Oct 2022
Event	30th European Conference on Signal Processing - Belgrade, Serbia Duration: 29 Aug 2022 → … https://2022.eusipco.org

Conference

Conference	30th European Conference on Signal Processing
Country/Territory	Serbia
City	Belgrade
Period	29/08/22 → …
Internet address	https://2022.eusipco.org

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Final ManuscriptAccepted author manuscript, 443 KB

1 Finished
1 Active

VLAAI1: Subsidie: Onderzoeksprogramma Artificiële Intelligentie (AI) Vlaanderen
Nowe, A. & Vanderborght, B.
1/07/19 → 31/12/24
Project: Applied
FWOSB105: Explainable Physics-guided Deep Learning for Air Pollution Inference
Rodrigo Bonet, E. & Deligiannis, N.
1/11/20 → 31/10/24
Project: Fundamental

Cite this

@inproceedings{48531867eeea43a9ac89bd402919f42b,

title = "Conditional Variational Graph Autoencoder for Air Pollution Forecasting",

author = "{Rodrigo Bonet}, Esther and {Do Huu}, Tien and Xuening Qin and Jelle Hofman and {Panzica La Manna}, Valerio and Wilfried Philips and Nikos Deligiannis",

year = "2022",

month = oct,

day = "18",

language = "English",

isbn = "978-1-6654-6798-8",

pages = "1442--1446",

booktitle = "2022 30th European Signal Processing Conference (EUSIPCO)",

publisher = "IEEE",

note = "30th European Conference on Signal Processing ; Conference date: 29-08-2022",

url = "https://2022.eusipco.org",

}

Conditional Variational Graph Autoencoder for Air Pollution Forecasting. / Rodrigo Bonet, Esther; Do Huu, Tien; Qin, Xuening; Hofman, Jelle; Panzica La Manna, Valerio; Philips, Wilfried; Deligiannis, Nikos.

2022 30th European Signal Processing Conference (EUSIPCO). IEEE, 2022. p. 1442-1446.

Research output: Chapter in Book/Report/Conference proceeding › Conference paper

TY - GEN

T1 - Conditional Variational Graph Autoencoder for Air Pollution Forecasting

AU - Rodrigo Bonet, Esther

AU - Do Huu, Tien

AU - Qin, Xuening

AU - Hofman, Jelle

AU - Panzica La Manna, Valerio

AU - Philips, Wilfried

AU - Deligiannis, Nikos

PY - 2022/10/18

Y1 - 2022/10/18

M3 - Conference paper

SN - 978-1-6654-6798-8

SP - 1442

EP - 1446

BT - 2022 30th European Signal Processing Conference (EUSIPCO)

PB - IEEE

T2 - 30th European Conference on Signal Processing

Y2 - 29 August 2022

ER -

Conditional Variational Graph Autoencoder for Air Pollution Forecasting

Conference

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Projects

VLAAI1: Subsidie: Onderzoeksprogramma Artificiële Intelligentie (AI) Vlaanderen

FWOSB105: Explainable Physics-guided Deep Learning for Air Pollution Inference

Cite this