1 code implementation • 14 Oct 2023 • Guoxin Chen, Yongqing Wang, Fangda Guo, Qinglang Guo, Jiangli Shao, HuaWei Shen, Xueqi Cheng
Most existing methods that address out-of-distribution (OOD) generalization for node classification on graphs primarily focus on a specific type of data biases, such as label selection bias or structural bias.
1 code implementation • 21 Jul 2023 • Boshen Shi, Yongqing Wang, Fangda Guo, Jiangli Shao, HuaWei Shen, Xueqi Cheng
Overall, OpenGDA provides a user-friendly, scalable and reproducible benchmark for evaluating graph domain adaptation models.
no code implementations • 19 Apr 2021 • Jiangli Shao, Yongqing Wang, Hao Gao, HuaWei Shen, Yangyang Li, Xueqi Cheng
However, encouraged by online services, users would also post asymmetric information across networks, such as geo-locations and texts.