当前位置:
X-MOL 学术
›
Comput. Sci. Rev.
›
论文详情
Our official English website, www.x-mol.net, welcomes your
feedback! (Note: you will need to create a separate account there.)
Harnessing Heterogeneous Information Networks: A systematic literature review
Computer Science Review ( IF 13.3 ) Pub Date : 2024-04-27 , DOI: 10.1016/j.cosrev.2024.100633 Leila Outemzabet , Nicolas Gaud , Aurélie Bertaux , Christophe Nicolle , Stéphane Gerart , Sébastien Vachenc
Computer Science Review ( IF 13.3 ) Pub Date : 2024-04-27 , DOI: 10.1016/j.cosrev.2024.100633 Leila Outemzabet , Nicolas Gaud , Aurélie Bertaux , Christophe Nicolle , Stéphane Gerart , Sébastien Vachenc
The integration of multiple heterogeneous data into graph models has been the subject of extensive research in recent years. Harnessing these resulting Heterogeneous Information Networks (HINs) is a complex task that requires reasoning to perform various prediction tasks.
中文翻译:
利用异构信息网络:系统文献综述
近年来,将多种异构数据集成到图模型中一直是广泛研究的主题。利用这些异构信息网络 (HIN) 是一项复杂的任务,需要推理来执行各种预测任务。
更新日期:2024-04-27
中文翻译:
利用异构信息网络:系统文献综述
近年来,将多种异构数据集成到图模型中一直是广泛研究的主题。利用这些异构信息网络 (HIN) 是一项复杂的任务,需要推理来执行各种预测任务。