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#federated learning Open access Oct 2026

An end‑to‑end multi‑source heterogeneous data fusion and spatiotemporal graph convolutional network for enterprise financial crisis early warning

In the early warning of enterprise financial crisis, the difficulty of multi-source heterogeneous data fusion and the complexity of risk transmission effect modeling are the key challenges. To this end, this study proposes an end-to-end deep learning framework named MFGCN to achieve accurate early warning. This paper p...

Yang Qu · 0 citations

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