Positive and unlabeled graph learning with large language models for fake news detection (2026)
Source: Lecture Notes in Artificial Intelligence. Conference titles: Brazilian Conference on Intelligent Systems - BRACIS. Unidade: ICMC
Subjects: PROCESSAMENTO DE LINGUAGEM NATURAL, TEORIA DOS GRAFOS, APRENDIZADO COMPUTACIONAL, FAKE NEWS
ABNT
MESSIAS, Guilherme Henrique et al. Positive and unlabeled graph learning with large language models for fake news detection. Lecture Notes in Artificial Intelligence. Cham: Springer. Disponível em: https://doi.org/10.1007/978-3-032-15984-7_23. Acesso em: 13 fev. 2026. , 2026APA
Messias, G. H., Souza, M. C. de, Gameiro, Y. M., Iasulaitis, S., Seno, E. R. M., Rezende, S. O., & Valejo, A. D. B. (2026). Positive and unlabeled graph learning with large language models for fake news detection. Lecture Notes in Artificial Intelligence. Cham: Springer. doi:10.1007/978-3-032-15984-7_23NLM
Messias GH, Souza MC de, Gameiro YM, Iasulaitis S, Seno ERM, Rezende SO, Valejo ADB. Positive and unlabeled graph learning with large language models for fake news detection [Internet]. Lecture Notes in Artificial Intelligence. 2026 ; 16180 331-346.[citado 2026 fev. 13 ] Available from: https://doi.org/10.1007/978-3-032-15984-7_23Vancouver
Messias GH, Souza MC de, Gameiro YM, Iasulaitis S, Seno ERM, Rezende SO, Valejo ADB. Positive and unlabeled graph learning with large language models for fake news detection [Internet]. Lecture Notes in Artificial Intelligence. 2026 ; 16180 331-346.[citado 2026 fev. 13 ] Available from: https://doi.org/10.1007/978-3-032-15984-7_23
