Research advances and challenges on graph foundation model: perspective from graph neural network
Comprehensive Reviews|更新时间:2025-08-07
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Research advances and challenges on graph foundation model: perspective from graph neural network
Journal on CommunicationsVol. 46, Issue 7, Pages: 226-248(2025)
作者机构:
1.重庆邮电大学通信与信息工程学院,重庆 400065
2.重庆邮电大学网络空间安全与信息法学院,重庆 400065
3.重庆师范大学计算机与信息科学学院,重庆 401331
4.成都信息工程大学软件工程学院,四川 成都 610225
5.电子科技大学计算机科学与工程学院,四川 成都 611731
作者简介:
基金信息:
The National Natural Science Foundation of China(62376047;62106030);The Key Projects of the Joint Fund for Innovation and Development of Chongqing Natural Science Foundation(CSTB2023NSCQ-LZX0003);The Key Project of Science and Technology Research Program of Chongqing Education Commission(KJZD-K202300603);Science and Techno-logy Research Program of Chongqing Municipal Education Commission(KJQN202300606)
WU Tao,NIE Fazhi,XIAN Xingping,et al.Research advances and challenges on graph foundation model: perspective from graph neural network[J].Journal on Communications,2025,46(07):226-248.
WU Tao,NIE Fazhi,XIAN Xingping,et al.Research advances and challenges on graph foundation model: perspective from graph neural network[J].Journal on Communications,2025,46(07):226-248. DOI: 10.11959/j.issn.1000-436x.2025114.
Research advances and challenges on graph foundation model: perspective from graph neural network