Difference between revisions of "Publications/veyrin-forrer.22.egc"
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| abstract = While existing GNN's explanation methods explain the decision by studying the output layer, we propose a method that analyzes the hidden layers to identify the neurons that are co-activated for a class. We associate to them a graph. |
| abstract = While existing GNN's explanation methods explain the decision by studying the output layer, we propose a method that analyzes the hidden layers to identify the neurons that are co-activated for a class. We associate to them a graph. |
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| type = inproceedings |
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| id = veyrin-forrer.22.egc |
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pages = <nowiki>{</nowiki>159--170<nowiki>}</nowiki>, |
pages = <nowiki>{</nowiki>159--170<nowiki>}</nowiki>, |
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year = <nowiki>{</nowiki>2022<nowiki>}</nowiki>, |
year = <nowiki>{</nowiki>2022<nowiki>}</nowiki>, |
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opturl = <nowiki>{</nowiki>http://editions-rnti.fr/?inprocid=1002725<nowiki>}</nowiki>, |
opturl = <nowiki>{</nowiki>http://editions-rnti.fr/?inprocid=1002725<nowiki>}</nowiki>, |
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note = <nowiki>{</nowiki>In French, Best paper award<nowiki>}</nowiki>, |
note = <nowiki>{</nowiki>In French, Best paper award<nowiki>}</nowiki>, |
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that analyzes the hidden layers to identify the neurons |
that analyzes the hidden layers to identify the neurons |
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that are co-activated for a class. We associate to them a |
that are co-activated for a class. We associate to them a |
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| − | graph.<nowiki>}</nowiki> |
+ | graph.<nowiki>}</nowiki>, |
| + | nodoi = <nowiki>{</nowiki><nowiki>}</nowiki> |
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<nowiki>}</nowiki> |
<nowiki>}</nowiki> |
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Latest revision as of 19:08, 7 April 2023
- Authors
- Luca Veyrin-Forrer, Ataollah Kamal, Stefan Duffner, Marc Plantevit, Céline Robardet
- Where
- Extraction et Gestion des Connaissances, EGC 2022Blois, France, 24 au 28 janvier 2022
- Type
- inproceedings
- Keywords
- IA
- Date
- 2022-03-24
Abstract
While existing GNN's explanation methods explain the decision by studying the output layer, we propose a method that analyzes the hidden layers to identify the neurons that are co-activated for a class. We associate to them a graph.
Bibtex (lrde.bib)
@InProceedings{ veyrin-forrer.22.egc,
author = {Luca {Veyrin-Forrer} and Ataollah Kamal and Stefan Duffner
and Marc Plantevit and C\'eline Robardet},
title = {Qu'est-ce que mon {GNN} capture vraiment ? {E}xploration
des repr\'esentations internes d'un {GNN}},
booktitle = {Extraction et Gestion des Connaissances, {EGC} 2022,
Blois, France, 24 au 28 janvier 2022},
pages = {159--170},
year = {2022},
month = jan,
opturl = {http://editions-rnti.fr/?inprocid=1002725},
note = {In French, Best paper award},
category = {national},
abstract = {While existing GNN's explanation methods explain the
decision by studying the output layer, we propose a method
that analyzes the hidden layers to identify the neurons
that are co-activated for a class. We associate to them a
graph.},
nodoi = {}
}