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GraphXAIN is an open-source implementation and resources for the GraphXAIN: Narratives to Explain Graph Neural Networks method. It combines Graph Neural Networks, graph explainers, and large language models to generate natural-language narratives that explain GNN predictions. The method is model- and explainer-agnostic, translating explanatory subgraphs and feature importance into coherent, story-like explanations to improve interpretability on real-world datasets.
We haven’t found GraphXAIN in the AI answers we’ve checked.