David ISERN ALARCÓN

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Graph-Enhanced Language Models for Online Scam and Phishing Detection: A Knowledge Augmentaon Approach

This master’s thesis proposes to investigate knowledge augmentation techniques using knowledge graphs to improve scam detection in transformer-based models. The objective is to design and evaluate methods for integrating structured knowledge into transformer architectures, enabling them to leverage both textual and relational information.

09-ABR-2026

Knowledge Graph Augmentation; Transformer-based models; Scam detection; NLP

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