11 citations · 12 across the 3 of their papers we have counts for
3 papers
cs.LG2023★ 11 cited
Causality and Independence Enhancement for Biased Node Classification
Guoxin Chen, Yongqing Wang, Fangda Guo +4
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 selec…
cs.AI2023
OpenGDA: Graph Domain Adaptation Benchmark for Cross-network Learning
Boshen Shi, Yongqing Wang, Fangda Guo +3
Graph domain adaptation models are widely adopted in cross-network learning tasks, with the aim of transferring labeling or structural knowledge. Currently, there mainly exist two…
cs.SI2022★ 1 cited
Adversarial for Social Privacy: A Poisoning Strategy to Degrade User Identity Linkage
Jiangli Shao, Yongqing Wang, Boshen Shi +3
Privacy issues on social networks have been extensively discussed in recent years. The user identity linkage (UIL) task, aiming at finding corresponding users across different soci…