Rethinking Propagation for Unsupervised Graph Domain Adaptation

8 February 2024

Papers citing "Rethinking Propagation for Unsupervised Graph Domain Adaptation"

4 / 4 papers shown

Title
Smoothness Really Matters: A Simple Yet Effective Approach for Unsupervised Graph Domain Adaptation Wei Chen Guo Ye Yakun Wang Zhao Zhang Libang Zhang Daxin Wang Zhiqiang Zhang Fuzhen Zhuang 81 1 0 17 Jan 2025
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 R. Li Jundong Li Kaize Ding OOD 45 2 0 25 Oct 2024
Revisiting, Benchmarking and Understanding Unsupervised Graph Domain Adaptation Meihan Liu Zhen Zhang Jiachen Tang Jiajun Bu Bingsheng He Sheng Zhou 19 3 0 09 Jul 2024
Domain-Adversarial Training of Neural Networks Yaroslav Ganin E. Ustinova Hana Ajakan Pascal Germain Hugo Larochelle François Laviolette M. Marchand Victor Lempitsky GAN OOD 149 9,316 0 28 May 2015