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Transformer de grafos para predicción de enlaces en hechos N-arios
Bin Hu1, Xiongjie Tao2, Hui Guo3
1Faculty of Humanities and Arts, Macau University of Science and Technology, Taipa, 999078, Macau, China.
Este estudio presenta el modelo Transformer de grafos N-arios (NAGT) para mejorar la predicción de enlaces de hechos N-arios en grafos de conocimiento hiperrelacionales. NAGT mejora la utilización de la información estructural para una identificación de asociaciones más precisa en las recomendaciones.
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