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Zi Yu Xue

2 accepted papers

2021

Robust Counterfactual Explanations on Graph Neural Networks

NeurIPS 2021poster

Massive deployment of Graph Neural Networks (GNNs) in high-stake applications generates a strong demand for explanations that are robust to noise and align well with human intuition. Most existing methods generate explanations by identifying a subgraph of an input graph that has a strong correlation…

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