ST-GAT applies spatial-temporal graph attention networks to reconstructed interbank graphs from FDIC Call Reports, achieving 0.939 AUPRC for bank distress prediction with explainable feature importance.
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Explainable Graph Neural Networks for Interbank Contagion Surveillance: A Regulatory-Aligned Framework for the U.S. Banking Sector
ST-GAT applies spatial-temporal graph attention networks to reconstructed interbank graphs from FDIC Call Reports, achieving 0.939 AUPRC for bank distress prediction with explainable feature importance.