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Rank and Align: Towards Effective Source-free Graph Domain Adaptation

Rank and Align: Towards Effective Source-free Graph Domain Adaptation

International Joint Conference on Artificial Intelligence (IJCAI), 2024
22 August 2024
Junyu Luo
Zhiping Xiao
Yifan Wang
Xiao Luo
Jingyang Yuan
Wei Ju
Langechuan Liu
Ming Zhang
ArXiv (abs)PDFHTMLHuggingFace (1 upvotes)

Papers citing "Rank and Align: Towards Effective Source-free Graph Domain Adaptation"

4 / 4 papers shown
Title
Graph Data Selection for Domain Adaptation: A Model-Free Approach
Graph Data Selection for Domain Adaptation: A Model-Free Approach
Ting-Wei Li
Ruizhong Qiu
Hanghang Tong
OOD
210
4
0
22 May 2025
Cross-Domain Diffusion with Progressive Alignment for Efficient Adaptive Retrieval
Cross-Domain Diffusion with Progressive Alignment for Efficient Adaptive RetrievalIEEE Transactions on Image Processing (IEEE TIP), 2025
Junyu Luo
Yusheng Zhao
Xiao Luo
Zhiping Xiao
Wei Ju
Li Shen
Dacheng Tao
Ming Zhang
DiffM
293
3
0
20 May 2025
A Survey of Deep Graph Learning under Distribution Shifts: from Graph Out-of-Distribution Generalization to Adaptation
A Survey of Deep Graph Learning under Distribution Shifts: from Graph Out-of-Distribution Generalization to Adaptation
Kexin Zhang
Shuhan Liu
Song Wang
Weili Shi
Chen Chen
Pan Li
Sheng Li
Jundong Li
Kaize Ding
OOD
321
9
0
25 Oct 2024
Graph Domain Adaptation: Challenges, Progress and Prospects
Graph Domain Adaptation: Challenges, Progress and Prospects
Boshen Shi
Yongqing Wang
Fangda Guo
Bingbing Xu
Huawei Shen
Xueqi Cheng
OOD
171
13
0
01 Feb 2024
1