Benchmark study of ten GNN explainers on eight architectures and six datasets that isolates usable components and issues practical recommendations.
A survey of explainable graph neural networks: Taxonomy and evaluation metrics
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Systematic review of 65 GNN studies on resting-state fMRI finds high classification performance but low reproducibility of disorder-specific biomarkers across papers, with few transdiagnostic signals.
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Explaining the Explainers in Graph Neural Networks: a Comparative Study
Benchmark study of ten GNN explainers on eight architectures and six datasets that isolates usable components and issues practical recommendations.
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Discovering robust biomarkers of psychiatric disorders from resting-state functional MRI via graph neural networks: A systematic review
Systematic review of 65 GNN studies on resting-state fMRI finds high classification performance but low reproducibility of disorder-specific biomarkers across papers, with few transdiagnostic signals.