On the efficacy of using LLMs for context driven entity augmentation in property graphs (2026)
Source: Proceedings. Conference titles: International Conference on Extending Database Technology - EDBT. Unidade: ICMC
Subjects: BANCO DE DADOS, APRENDIZADO COMPUTACIONAL, PROCESSAMENTO DE LINGUAGEM NATURAL, TEORIA DOS GRAFOS
ABNT
VASCONCELOS, Felipe Ferreira et al. On the efficacy of using LLMs for context driven entity augmentation in property graphs. 2026, Anais.. Aachen: CEUR-WS, 2026. Disponível em: https://ceur-ws.org/Vol-4186/paper6.pdf. Acesso em: 13 abr. 2026.APA
Vasconcelos, F. F., Aguiar, C. D. de, Chanson, A., Halfeld-Ferrari, M., Marcel, P., & Peralta, V. (2026). On the efficacy of using LLMs for context driven entity augmentation in property graphs. In Proceedings. Aachen: CEUR-WS. Recuperado de https://ceur-ws.org/Vol-4186/paper6.pdfNLM
Vasconcelos FF, Aguiar CD de, Chanson A, Halfeld-Ferrari M, Marcel P, Peralta V. On the efficacy of using LLMs for context driven entity augmentation in property graphs [Internet]. Proceedings. 2026 ;[citado 2026 abr. 13 ] Available from: https://ceur-ws.org/Vol-4186/paper6.pdfVancouver
Vasconcelos FF, Aguiar CD de, Chanson A, Halfeld-Ferrari M, Marcel P, Peralta V. On the efficacy of using LLMs for context driven entity augmentation in property graphs [Internet]. Proceedings. 2026 ;[citado 2026 abr. 13 ] Available from: https://ceur-ws.org/Vol-4186/paper6.pdf
