Text2Graph: combining lightweight LLMs and GNNs for efficient text classification in label-scarce scenarios (2025)
- Authors:
- USP affiliated authors: MARCACINI, RICARDO MARCONDES - ICMC ; SARCINELLI, JOÃO LUCAS LUZ LIMA - ICMC
- Unidade: ICMC
- DOI: 10.1109/SBAC-PADW69789.2025.00025
- Subjects: PROCESSAMENTO DE LINGUAGEM NATURAL; REDES NEURAIS; TEORIA DOS GRAFOS; SUSTENTABILIDADE
- Keywords: Large Language Models (LLMs); Graph Neural Networks (GNNs); Zero-Shot Learning; Text-to-Graph; Sustainable AI
- Language: Inglês
- Objetivos de Desenvolvimento Sustentável (ODS):
09. Indústria, inovação e infraestrutura
- Imprenta:
- Publisher: IEEE
- Publisher place: Los Alamitos
- Date published: 2025
- Source:
- Título: Proceedings
- Conference titles: IEEE/SBC International Symposium on Computer Architecture and High Performance Computing Workshops - SBAC-PADW
- Status:
- Nenhuma versão em acesso aberto identificada
-
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: 23 mar. 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-PADW69789.2025.00025 -
NLM
Sarcinelli JLLL, Marcacini RM. Text2Graph: combining lightweight LLMs and GNNs for efficient text classification in label-scarce scenarios [Internet]. Proceedings. 2025 ;[citado 2026 mar. 23 ] Available from: https://doi.org/10.1109/SBAC-PADW69789.2025.00025 -
Vancouver
Sarcinelli JLLL, Marcacini RM. Text2Graph: combining lightweight LLMs and GNNs for efficient text classification in label-scarce scenarios [Internet]. Proceedings. 2025 ;[citado 2026 mar. 23 ] Available from: https://doi.org/10.1109/SBAC-PADW69789.2025.00025 - Grandes Modelos de Linguagem Reduzidos para Reconhecimento de Entidades Nomeadas em Português
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