Cargando…
Anchor Link Prediction across Attributed Networks via Network Embedding
Presently, many users are involved in multiple social networks. Identifying the same user in different networks, also known as anchor link prediction, becomes an important problem, which can serve numerous applications, e.g., cross-network recommendation, user profiling, etc. Previous studies mainly...
Autores principales: | Wang, Shaokai, Li, Xutao, Ye, Yunming, Feng, Shanshan, Lau, Raymond Y. K., Huang, Xiaohui, Du, Xiaolin |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2019
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7514735/ https://www.ncbi.nlm.nih.gov/pubmed/33266969 http://dx.doi.org/10.3390/e21030254 |
Ejemplares similares
-
Effective attributed network embedding with information behavior extraction
por: Hu, Ganglin, et al.
Publicado: (2022) -
Constrained Active Learning for Anchor Link Prediction Across Multiple Heterogeneous Social Networks
por: Zhu, Junxing, et al.
Publicado: (2017) -
Protein complexes identification based on go attributed network embedding
por: Xu, Bo, et al.
Publicado: (2018) -
DANE-MDA: Predicting microRNA-disease associations via deep attributed network embedding
por: Ji, Bo-Ya, et al.
Publicado: (2021) -
Novel drug-target interactions via link prediction and network embedding
por: Amiri Souri, E., et al.
Publicado: (2022)