most citedEiX-GNN : Concept-level eigencentrality explainer for graph neural networks

1 citations · 1 across the 2 of their papers we have counts for

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2 papers

cs.AI2026

Prob-BBDM: a Probabilistic Brownian Bridge Diffusion Model for MRI sequence image-to-image translation

Martin Valls, Pascal Bourdon, Christine Fernandez-Maloigne +2

AI-driven image-to-image synthesis is rapidly advancing, with growing applications in medical imaging. Multi-modal image analysis plays a crucial role in optimizing examination qua…

cs.AI2022★ 1 cited

EiX-GNN : Concept-level eigencentrality explainer for graph neural networks

Adrien Raison, Pascal Bourdon, David Helbert

Nowadays, deep prediction models, especially graph neural networks, have a majorplace in critical applications. In such context, those models need to be highlyinterpretable or bein…