The paper claims that GNN embeddings plus hierarchical mining improve frequent-pattern discovery for minority classes on imbalanced tabular data.
Artificial Intelligence- Driven Risk Assessment and Control in Financial Derivatives: Exploring Deep Learning and Ensemble Models,
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Graph Neural Network-Driven Hierarchical Mining for Complex Imbalanced Data
The paper claims that GNN embeddings plus hierarchical mining improve frequent-pattern discovery for minority classes on imbalanced tabular data.