27 citations · 38 across the 11 of their papers we have counts for
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cs.LG2023★ 2 cited
Generative Explanations for Graph Neural Network: Methods and Evaluations
Jialin Chen, Kenza Amara, Junchi Yu +1
Graph Neural Networks (GNNs) achieve state-of-the-art performance in various graph-related tasks. However, the black-box nature often limits their interpretability and trustworthin…
cs.AI2023
GInX-Eval: Towards In-Distribution Evaluation of Graph Neural Network Explanations
Kenza Amara, Mennatallah El-Assady, Rex Ying
Diverse explainability methods of graph neural networks (GNN) have recently been developed to highlight the edges and nodes in the graph that contribute the most to the model predi…