Graph Learning Beats Fraud by Structure, Not Smarter Score Fusion, Study Finds
A controlled study of synthetic identity fraud detection shows that rule-anchored heterogeneous graph models win through complete identity relation structure ...
A controlled study of synthetic identity fraud detection shows that rule-anchored heterogeneous graph models win through complete identity relation structure ...
Researchers have developed a focused positive-unlabeled learning method that uses focal loss to achieve state-of-the-art performance on severely imbalanced datasets ...
New book by two retired U.S. diplomats explores how AI systems are reshaping visa and passport decisions and why human ...
A comprehensive new review finds that quantum graph neural networks deliver real parameter efficiency and task-specific utility, but definitive quantum ...
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© 2025 Scienmag - Science Magazine