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A directed graph convolutional neural network for edge-structured signals in link-fault detection

Michael Kenning, Jingjing Deng, Mike Edwards Orcid Logo, Xianghua Xie Orcid Logo

Pattern Recognition Letters, Volume: 153, Pages: 100 - 106

Swansea University Authors: Michael Kenning, Jingjing Deng, Mike Edwards Orcid Logo, Xianghua Xie Orcid Logo

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DOI (Published version): 10.1016/j.patrec.2021.12.003

Published in: Pattern Recognition Letters
ISSN: 0167-8655
Published: Elsevier BV 2022
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URI: https://cronfa.swan.ac.uk/Record/cronfa59018
first_indexed 2021-12-31T15:53:57Z
last_indexed 2022-01-13T04:29:16Z
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spelling 2022-01-12T13:04:39.7657616 v2 59018 2021-12-16 A directed graph convolutional neural network for edge-structured signals in link-fault detection 3fcab7bac19385191914aa7e98b88e07 Michael Kenning Michael Kenning true false 6f6d01d585363d6dc1622640bb4fcb3f Jingjing Deng Jingjing Deng true false 684864a1ce01c3d774e83ed55e41770e 0000-0003-3367-969X Mike Edwards Mike Edwards true false b334d40963c7a2f435f06d2c26c74e11 0000-0002-2701-8660 Xianghua Xie Xianghua Xie true false 2021-12-16 SEA Journal Article Pattern Recognition Letters 153 100 106 Elsevier BV 0167-8655 Graph deep learning; Datacenter; Directed graph; Edge signals; Graph edge learning; Linegraphs; Directed linegraphs; Graph convolution 1 1 2022 2022-01-01 10.1016/j.patrec.2021.12.003 COLLEGE NANME Swansea Employability Academy COLLEGE CODE SEA Swansea University 2022-01-12T13:04:39.7657616 2021-12-16T18:13:15.4408851 Faculty of Science and Engineering School of Mathematics and Computer Science - Computer Science Michael Kenning 1 Jingjing Deng 2 Mike Edwards 0000-0003-3367-969X 3 Xianghua Xie 0000-0002-2701-8660 4 59018__21998__10efaedbbd9c4b04afb00b3e5a44e6c9.pdf Final, No Publisher Formatting.pdf 2022-01-04T11:56:59.2944543 Output 578644 application/pdf Accepted Manuscript true 2022-12-08T00:00:00.0000000 ©2021 All rights reserved. All article content, except where otherwise noted, is licensed under a Creative Commons Attribution Non-Commercial No Derivatives License (CC-BY-NC-ND) true eng https://creativecommons.org/licenses/by-nc-nd/4.0/
title A directed graph convolutional neural network for edge-structured signals in link-fault detection
spellingShingle A directed graph convolutional neural network for edge-structured signals in link-fault detection
Michael Kenning
Jingjing Deng
Mike Edwards
Xianghua Xie
title_short A directed graph convolutional neural network for edge-structured signals in link-fault detection
title_full A directed graph convolutional neural network for edge-structured signals in link-fault detection
title_fullStr A directed graph convolutional neural network for edge-structured signals in link-fault detection
title_full_unstemmed A directed graph convolutional neural network for edge-structured signals in link-fault detection
title_sort A directed graph convolutional neural network for edge-structured signals in link-fault detection
author_id_str_mv 3fcab7bac19385191914aa7e98b88e07
6f6d01d585363d6dc1622640bb4fcb3f
684864a1ce01c3d774e83ed55e41770e
b334d40963c7a2f435f06d2c26c74e11
author_id_fullname_str_mv 3fcab7bac19385191914aa7e98b88e07_***_Michael Kenning
6f6d01d585363d6dc1622640bb4fcb3f_***_Jingjing Deng
684864a1ce01c3d774e83ed55e41770e_***_Mike Edwards
b334d40963c7a2f435f06d2c26c74e11_***_Xianghua Xie
author Michael Kenning
Jingjing Deng
Mike Edwards
Xianghua Xie
author2 Michael Kenning
Jingjing Deng
Mike Edwards
Xianghua Xie
format Journal article
container_title Pattern Recognition Letters
container_volume 153
container_start_page 100
publishDate 2022
institution Swansea University
issn 0167-8655
doi_str_mv 10.1016/j.patrec.2021.12.003
publisher Elsevier BV
college_str Faculty of Science and Engineering
hierarchytype
hierarchy_top_id facultyofscienceandengineering
hierarchy_top_title Faculty of Science and Engineering
hierarchy_parent_id facultyofscienceandengineering
hierarchy_parent_title Faculty of Science and Engineering
department_str School of Mathematics and Computer Science - Computer Science{{{_:::_}}}Faculty of Science and Engineering{{{_:::_}}}School of Mathematics and Computer Science - Computer Science
document_store_str 1
active_str 0
published_date 2022-01-01T02:24:55Z
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