Explaining Graph Neural Networks With Topology-Aware Node Selection: Application in Air Quality Inference-Reference-Cited by-同舟云学术

Explaining Graph Neural Networks With Topology-Aware Node Selection: Application in Air Quality Inference

Published:2022 Issue: Volume:8 Page:499-513
ISSN:2373-776X
Container-title:IEEE Transactions on Signal and Information Processing over Networks
language:
Short-container-title:IEEE Trans. on Signal and Inf. Process. over Networks

Author:

Bonet Esther Rodrigo¹^ORCID,Do Tien Huu¹^ORCID,Qin Xuening²^ORCID,Hofman Jelle³,Manna Valerio Panzica La³,Philips Wilfried²,Deligiannis Nikos¹^ORCID

Affiliation:

1. Department of Electronics and Informatics (ETRO), Vrije Universiteit Brussel, Brussels, Belgium

2. Department of Telecommunications and Information Processing, Ghent University, Ghent, Belgium

3. imec, Eindhoven, The Netherlands

Funder

Research Foundation - Flanders

Ph.D. Fellowship Strategic Basic Research

IMEC

Vlaamse regering

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Computer Networks and Communications,Information Systems,Signal Processing

Link

Reference57 articles.

1. Striving for simplicity: The all convolutional net;springenberg,2015

2. Parameterized explainer for graph neural network;luo;Proc 33rd Int Conf Neural Inf Process Syst,0

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