Source: Proceedings. Conference titles: International Conference on Computer Vision Theory and Applications - VISAPP 2026. Unidade: IME
Subjects: VISÃO COMPUTACIONAL, EXPRESSÃO GÊNICA
ABNT
OLIVEIRA, Artur André Almeida de Macedo et al. Graph memory: a structured and interpretable framework for modality-agnostic embedding-based inference. 2026, Anais.. Setúbal: Instituto de Matemática e Estatística, Universidade de São Paulo, 2026. Disponível em: https://www.scitepress.org/Papers/2026/145788/145788.pdf. Acesso em: 23 abr. 2026.APA
Oliveira, A. A. A. de M., Espadoto, M., César Júnior, R. M., & Hirata Júnior, R. (2026). Graph memory: a structured and interpretable framework for modality-agnostic embedding-based inference. In Proceedings. Setúbal: Instituto de Matemática e Estatística, Universidade de São Paulo. doi:10.5220/0014578800004084NLM
Oliveira AAA de M, Espadoto M, César Júnior RM, Hirata Júnior R. Graph memory: a structured and interpretable framework for modality-agnostic embedding-based inference [Internet]. Proceedings. 2026 ;[citado 2026 abr. 23 ] Available from: https://www.scitepress.org/Papers/2026/145788/145788.pdfVancouver
Oliveira AAA de M, Espadoto M, César Júnior RM, Hirata Júnior R. Graph memory: a structured and interpretable framework for modality-agnostic embedding-based inference [Internet]. Proceedings. 2026 ;[citado 2026 abr. 23 ] Available from: https://www.scitepress.org/Papers/2026/145788/145788.pdf
