most citedGCExplainer: Human-in-the-Loop Concept-based Explanations for Graph Neural Networks

14 citations · 14 across the 1 of their papers we have counts for

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1 paper

cs.LG2021★ 14 cited

GCExplainer: Human-in-the-Loop Concept-based Explanations for Graph Neural Networks

Lucie Charlotte Magister, Dmitry Kazhdan, Vikash Singh +1

While graph neural networks (GNNs) have been shown to perform well on graph-based data from a variety of fields, they suffer from a lack of transparency and accountability, which h…