ScoreCAM GNN: une explication optimale des réseaux profonds sur graphes

Autor: Adrien Raison, Pascal Bourdon, David Helbert
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