HyperPersona is a hypergraph framework that jointly models document, sentence, and word levels of text via hyperedges and nodes, then uses a transformer graph encoder to predict Big Five personality traits from text alone.
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DPF-GFD uses complementary frequency filtering on the original graph and a similarity graph to produce more discriminative node embeddings for fraud detection under high heterophily and class imbalance.
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HyperPersona: A Multi-Level Hypergraph Framework for Text-Based Automatic Personality Prediction
HyperPersona is a hypergraph framework that jointly models document, sentence, and word levels of text via hyperedges and nodes, then uses a transformer graph encoder to predict Big Five personality traits from text alone.
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Graph-Based Fraud Detection with Dual-Path Graph Filtering
DPF-GFD uses complementary frequency filtering on the original graph and a similarity graph to produce more discriminative node embeddings for fraud detection under high heterophily and class imbalance.