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CLARUS: An interactive explainable AI platform for manual counterfactuals in graph neural networks
44
Zitationen
7
Autoren
2024
Jahr
Abstract
We present the first interactive XAI platform prototype, CLARUS, that allows not only the evaluation of specific human counterfactual questions based on user-defined alterations of patient networks and a re-prediction of the clinical outcome but also a retraining of the entire GNN after changing the underlying graph structures. The platform is currently hosted by the GWDG on https://rshiny.gwdg.de/apps/clarus/.
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