Conference Paper/Proceeding/Abstract 22183 views 65 downloads
Selecting Informative Features for Post-hoc Community Explanation
Complex Networks & Their Applications X, Pages: 297 - 308
Swansea University Authors: Sophie Sadler, Daniel Archambault
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DOI (Published version): 10.1007/978-3-030-93409-5_25
Abstract
Selecting Informative Features for Post-hoc Community Explanation
Published in: | Complex Networks & Their Applications X |
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ISBN: | 9783030934088 9783030934095 |
ISSN: | 1860-949X 1860-9503 |
Published: |
Cham
Springer International Publishing
2022
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Online Access: |
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URI: | https://cronfa.swan.ac.uk/Record/cronfa58268 |
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Keywords: |
Network analysis; Explainability; Community detection |
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College: |
Faculty of Science and Engineering |
Funders: |
This work is supported by the UKRI AIMLAC CDT, funded by grant EP/S023992/1 and by Science Foundation Ireland (SFI) under Grant Number SFI/12/RC/2289_P2. |
Start Page: |
297 |
End Page: |
308 |