D2-GCN: a graph convolutional network with dynamic disentanglement for node classification

{{article.zuoZheEn}}

PDF(9090 KB)
PDF(9090 KB)
Front. Comput. Sci. ›› 2025, Vol. 19 ›› Issue (1) : 191305. DOI: 10.1007/s11704-023-3339-7
RESEARCH ARTICLE

D2-GCN: a graph convolutional network with dynamic disentanglement for node classification

  • {{article.zuoZheEn}}
Author information +
History +

Highlights

{{article.highlightEn}}

Abstract

{{article.abstractEn}}

Author summary

{{article.authorSummayEn}}

Graphical abstract

Keywords

Cite this article

EndNote

Ris (Procite)

Bibtex

Download citation ▾
{{article.zuoZheEn_L}}. {{article.titleEn}}. Front. Comput. Sci., 2025, 19(1): 191305 https://doi.org/10.1007/s11704-023-3339-7

References

Publishing order | Descend order by publishing year | Descend order by cited within

References

{{article.reference}}

RIGHTS & PERMISSIONS

{{article.copyright.year}} {{article.copyright.holder}}
PDF(9090 KB)

Accesses

Citations

Detail
Sections
Recommended

/

〈 〉