Journal article 882 views 224 downloads
A directed graph convolutional neural network for edge-structured signals in link-fault detection
Pattern Recognition Letters, Volume: 153, Pages: 100 - 106
Swansea University Authors: Michael Kenning, Jingjing Deng, Mike Edwards , Xianghua Xie
-
PDF | Accepted Manuscript
©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)
Download (565.08KB)
DOI (Published version): 10.1016/j.patrec.2021.12.003
Abstract
A directed graph convolutional neural network for edge-structured signals in link-fault detection
Published in: | Pattern Recognition Letters |
---|---|
ISSN: | 0167-8655 |
Published: |
Elsevier BV
2022
|
Online Access: |
Check full text
|
URI: | https://cronfa.swan.ac.uk/Record/cronfa59018 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Keywords: |
Graph deep learning; Datacenter; Directed graph; Edge signals; Graph edge learning; Linegraphs; Directed linegraphs; Graph convolution |
---|---|
College: |
Faculty of Science and Engineering |
Start Page: |
100 |
End Page: |
106 |