ScoreCAM GNN: une explication optimale des réseaux profonds sur graphes
Autor: | Adrien Raison, Pascal Bourdon, David Helbert |
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Rok vydání: | 2022 |
Předmět: | |
Zdroj: | HAL |
DOI: | 10.48550/arxiv.2207.12748 |
Popis: | The explainability of deep networks is becoming a central issue in the deep learning community. It is the same for learning on graphs, a data structure present in many real world problems. In this paper, we propose a method that is more optimal, lighter, consistent and better exploits the topology of the evaluated graph than the state-of-the-art methods. in French language. XXVIIIe Colloque GRETSI - Traitement du Signal et des Images, Sep 2022, Nancy, France |
Databáze: | OpenAIRE |
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