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arXiv research

A locally-built, LLM-digested index of recent arXiv papers in quant finance, geometry/topology, and statistical ML — keyword search served straight from SQLite on this machine.

168,657 papers · 148 categories

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0111 · Mar 202419922001200920172026
1 result for “Motif-preserving”
Financial Default Prediction via Motif-preserving Graph Neural Network with Curriculum Learningq-fin.RM

Proposes a motif-preserving Graph Neural Network for financial default prediction.

problem Weak connectivity and imbalance in motif patterns in graph-based models.
method MotifGNN with curriculum learning to capture higher-order topology structures.
result Significantly improved financial default prediction accuracy on public and industrial datasets.
Graph Neural NetworkMotif-preservingCurriculum LearningFinancial Default PredictionCredit Risk Forecasting
2024-03-11abs ↗pdf ↗