HeteEdgeWalk: A Heterogeneous Edge Memory Random Walk for Heterogeneous Information Network Embedding

Most Heterogeneous Information Network (HIN) embedding methods use meta-paths to guide random walks to sample from HIN and perform representation learning in order to overcome the bias of traditional random walks that are more biased towards high-order nodes. Their performance depends on the suitabi...

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Detalles Bibliográficos
Autores principales: Liu, Zhenpeng, Zhang, Shengcong, Zhang, Jialiang, Jiang, Mingxiao, Liu, Yi
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10378489/
https://www.ncbi.nlm.nih.gov/pubmed/37509945
http://dx.doi.org/10.3390/e25070998

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10378489/
https://www.ncbi.nlm.nih.gov/pubmed/37509945
http://dx.doi.org/10.3390/e25070998

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