2023
Global Concept-Based Interpretability for Graph Neural Networks via Neuron Analysis
AAAI 2023technical
Graph neural networks (GNNs) are highly effective on a variety of graph-related tasks; however, they lack interpretability and transparency. Current explainability approaches are typically local and treat GNNs as black-boxes. They do not look inside the model, inhibiting human trust in the model and…