首页|期刊导航|计算机科学技术学报（英文版）|Domain Adaptation for Graph Representation Learning:Challenges,Progress,and Prospects
计算机科学技术学报（英文版）2025，Vol.40Issue(2)：283-300,18.DOI:10.1007/s11390-024-4465-x
Domain Adaptation for Graph Representation Learning:Challenges,Progress,and Prospects
Domain Adaptation for Graph Representation Learning:Challenges,Progress,and Prospects
摘要
关键词
graph domain adaptation/graph representation learning/transfer learningKey words
graph domain adaptation/graph representation learning/transfer learning引用本文复制引用
史铂深,王永庆,郭放达,徐冰冰,沈华伟,程学旗..Domain Adaptation for Graph Representation Learning:Challenges,Progress,and Prospects[J].计算机科学技术学报（英文版）,2025,40(2):283-300,18.基金项目
This work was supported by the Strategic Priority Research Program of the Chinese Academy of Sciences(CAS)under Grant No.XDB0680302,the National Key Research and Development Program of China under Grant No.2023YFC3305303,the National Natural Science Foundation of China under Grant Nos.62372434 and 62302485,the China Postdoctoral Science Foundation under Grant No.2022M713206,the CAS Special Research Assistant Program,and the Key Research Project of Chinese Academy of Sci-ences under Grant No.RCJJ-145-24-21. （CAS）
