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: 01 maio 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 maio 01 ] 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 maio 01 ] Available from: https://ceur-ws.org/Vol-4186/paper6.pdf
