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- W4288099265 abstract "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." @default.
- W4288099265 created "2022-07-28" @default.
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- W4288099265 date "2022-09-06" @default.
- W4288099265 modified "2023-09-27" @default.
- W4288099265 title "ScoreCAM GNN : une explication optimale des réseaux profonds sur graphes" @default.
- W4288099265 hasPublicationYear "2022" @default.
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