Source: Proceedings. Conference titles: IEEE/SBC International Symposium on Computer Architecture and High Performance Computing Workshops - SBAC-PADW. Unidade: ICMC
Subjects: PROCESSAMENTO DE LINGUAGEM NATURAL, REDES NEURAIS, TEORIA DOS GRAFOS, SUSTENTABILIDADE
ABNT
SARCINELLI, João Lucas Luz Lima e MARCACINI, Ricardo Marcondes. Text2Graph: combining lightweight LLMs and GNNs for efficient text classification in label-scarce scenarios. 2025, Anais.. Los Alamitos: IEEE, 2025. Disponível em: https://doi.org/10.1109/SBAC-PADW69789.2025.00025. Acesso em: 03 jan. 2026.APA
Sarcinelli, J. L. L. L., & Marcacini, R. M. (2025). Text2Graph: combining lightweight LLMs and GNNs for efficient text classification in label-scarce scenarios. In Proceedings. Los Alamitos: IEEE. doi:10.1109/SBAC-PADW69789.2025.00025NLM
Sarcinelli JLLL, Marcacini RM. Text2Graph: combining lightweight LLMs and GNNs for efficient text classification in label-scarce scenarios [Internet]. Proceedings. 2025 ;[citado 2026 jan. 03 ] Available from: https://doi.org/10.1109/SBAC-PADW69789.2025.00025Vancouver
Sarcinelli JLLL, Marcacini RM. Text2Graph: combining lightweight LLMs and GNNs for efficient text classification in label-scarce scenarios [Internet]. Proceedings. 2025 ;[citado 2026 jan. 03 ] Available from: https://doi.org/10.1109/SBAC-PADW69789.2025.00025
