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Author

M. Kerdabadi

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#artificial intelligence Preprint Oct 2026

Dual-Scale Relational Graph Transformers for Ecosystem-Aware Fraud Detection

Account takeover (ATO) fraud is a growing threat to digital banking, requiring effective detection while minimizing friction for legitimate customers. Production systems predominantly rely on tabular models that score sessions in isolation, discarding the relational structure of the underlying interaction network. Alth...

M. Kerdabadi, Xin-Rou Li, Yao Xiao et al. · 0 citations
#artificial intelligence Preprint Oct 2026

RASPER: Reward-Aligned Summarization of Clinical Notes for EHR Outcome Prediction

Unstructured discharge notes in Electronic Health Records (EHRs) often carry signal complementary to structured medical codes, holding patient-specific evidence that standardized cohort-level codes alone cannot capture. However, this evidence in notes is frequently buried in lengthy, noisy text that is not intentionall...

Arya Hadizadeh Moghaddam, M. Kerdabadi, Chen Chen et al. · 0 citations
#artificial intelligence Preprint Sep 2026

REFINE: LLM Refinement over Budgeted Text-Attributed Graphs for Personalized Medical Concept Representation

Learning rich medical concept representations is essential for EHR prediction. Text-attributed knowledge graphs (TKGs) provide a natural foundation by organizing heterogeneous medical relations together with textual semantics. However, most existing encoders process concepts uniformly across patients, despite the fact...

M. Kerdabadi, Arya Hadizadeh Moghaddam, Dong-Jie Wang et al. · 0 citations

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