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12/02/2022
On the Limit of Explaining Black-box Temporal Graph Neural Networks
Temporal Graph Neural Network (TGNN) has been receiving a lot of attenti...
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09/18/2022
EMaP: Explainable AI with Manifold-based Perturbations
In the last few years, many explanation methods based on the perturbatio...
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09/18/2022
NeuCEPT: Locally Discover Neural Networks' Mechanism via Critical Neurons Identification with Precision Guarantee
Despite recent studies on understanding deep neural networks (DNNs), the...
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09/02/2022
An Explainer for Temporal Graph Neural Networks
Temporal graph neural networks (TGNNs) have been widely used for modelin...
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11/12/2021
Learning Interpretation with Explainable Knowledge Distillation
Knowledge Distillation (KD) has been considered as a key solution in mod...
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10/12/2020
PGM-Explainer: Probabilistic Graphical Model Explanations for Graph Neural Networks
In Graph Neural Networks (GNNs), the graph structure is incorporated int...
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06/05/2019
