SeBioGraph: Semi-supervised Deep Learning for the Graph via Sustainable Knowledge Transfer.

导出 LinkOut

翻译打印收藏纠错

作者： Yugang,Ma ^[1] ; Qing,Li ^[2] ; Nan,Hu ^[3] ; Lili,Li ^[4]

作者单位： School of Architecture and Urban Planning, Chongqing University, Chongqing, China. ^[1] School of Computer Science, Northwestern Polytechnical University, Shaanxi, China. ^[2] School of Management Science and Real Estate, Chongqing University, Chongqing, China. ^[3] China Construction Science & Technology Group Co., Ltd. Shenzhen, China. ^[4] College of Civil and Environmental Engineering, Harbin Institute of Technology, Harbin, China. ^[5]

关键词 graph knowledge transfer link prediction node classification semi-supervised deep learning

DOI 10.3389/fnbot.2021.665055

PMID 33867966

发布时间 2021-04-21

翻译满意度评价：

准确一般字义偏差语意偏离译文作用小提交

浏览0

Frontiers in neurorobotics

2021年15卷

665055页

相似文献

中文期刊
外文期刊
学位论文
会议论文

检索历史清除

SeBioGraph: Semi-supervised Deep Learning for the Graph via Sustainable Knowledge Transfer.

Frontiers in neurorobotics

相似文献

Frontiers in neurorobotics

相关期刊

参考文献：
指定格式：	NoteExpress EndNote RefWorks NoteFirst

检索历史 清除

SeBioGraph: Semi-supervised Deep Learning for the Graph via Sustainable Knowledge Transfer.

Frontiers in neurorobotics

相似文献

Frontiers in neurorobotics

相关期刊

检索历史清除