Source: Lecture Notes in Artificial Intelligence. Conference titles: Brazilian Conference on Intelligent Systems - BRACIS. Unidade: ICMC
Subjects: REDES NEURAIS, TEORIA DOS GRAFOS
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
BARBIRATO, João Gabriel Melo e LOPES, Alneu de Andrade. Evaluating the use of knowledge graph embeddings to identify influential nodes in heterogeneous networks. Lecture Notes in Artificial Intelligence. Cham: Springer. Disponível em: https://doi.org/10.1007/978-3-032-15987-8_35. Acesso em: 20 fev. 2026. , 2026APA
Barbirato, J. G. M., & Lopes, A. de A. (2026). Evaluating the use of knowledge graph embeddings to identify influential nodes in heterogeneous networks. Lecture Notes in Artificial Intelligence. Cham: Springer. doi:10.1007/978-3-032-15987-8_35NLM
Barbirato JGM, Lopes A de A. Evaluating the use of knowledge graph embeddings to identify influential nodes in heterogeneous networks [Internet]. Lecture Notes in Artificial Intelligence. 2026 ; 16179 524-538.[citado 2026 fev. 20 ] Available from: https://doi.org/10.1007/978-3-032-15987-8_35Vancouver
Barbirato JGM, Lopes A de A. Evaluating the use of knowledge graph embeddings to identify influential nodes in heterogeneous networks [Internet]. Lecture Notes in Artificial Intelligence. 2026 ; 16179 524-538.[citado 2026 fev. 20 ] Available from: https://doi.org/10.1007/978-3-032-15987-8_35
