Comparing random walks in graph embedding and link prediction (2024)
- Authors:
- USP affiliated authors: AMANCIO, DIEGO RAPHAEL - ICMC ; VITAL JUNIOR, ADILSON - ICMC
- Unidade: ICMC
- DOI: 10.1371/journal.pone.0312863
- Subjects: REDES COMPLEXAS; PASSEIOS ALEATÓRIOS
- Agências de fomento:
- Language: Inglês
- Imprenta:
- Publisher place: San Francisco
- Date published: 2024
- Source:
- Este periódico é de acesso aberto
- Este artigo é de acesso aberto
- URL de acesso aberto
- Cor do Acesso Aberto: gold
- Licença: cc-by
-
ABNT
VITAL JUNIOR, Adilson e SILVA, Filipi Nascimento e AMANCIO, Diego Raphael. Comparing random walks in graph embedding and link prediction. PLoS ONE, v. 19, n. 11, p. 1-22, 2024Tradução . . Disponível em: https://doi.org/10.1371/journal.pone.0312863. Acesso em: 30 dez. 2025. -
APA
Vital Junior, A., Silva, F. N., & Amancio, D. R. (2024). Comparing random walks in graph embedding and link prediction. PLoS ONE, 19( 11), 1-22. doi:10.1371/journal.pone.0312863 -
NLM
Vital Junior A, Silva FN, Amancio DR. Comparing random walks in graph embedding and link prediction [Internet]. PLoS ONE. 2024 ; 19( 11): 1-22.[citado 2025 dez. 30 ] Available from: https://doi.org/10.1371/journal.pone.0312863 -
Vancouver
Vital Junior A, Silva FN, Amancio DR. Comparing random walks in graph embedding and link prediction [Internet]. PLoS ONE. 2024 ; 19( 11): 1-22.[citado 2025 dez. 30 ] Available from: https://doi.org/10.1371/journal.pone.0312863 - A comparative analysis of local similarity metrics and machine learning approaches: application to link prediction in author citation networks
- Predicting citation impact of research papers using GPT and other text embeddings
- Classificação de textos com redes complexas
- Authorship attribution via network motifs identification
- Labelled network subgraphs reveal stylistic subtleties in written texts
- Authorship recognition via fluctuation analysis of network topology and word intermittency
- Extractive multi document summarization using dynamical measurements of complex networks
- Comparing the topological properties of real and artificially generated scientific manuscripts
- A complex network approach to stylometry
- Recency predicts bursts in the evolution of author citations
Informações sobre o DOI: 10.1371/journal.pone.0312863 (Fonte: oaDOI API)
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