9 citations · 12 across the 2 of their papers we have counts for
2 papers
cs.LG2022★ 3 cited
Debiased Graph Neural Networks with Agnostic Label Selection Bias
Shaohua Fan, Xiao Wang, Chuan Shi +3
Most existing Graph Neural Networks (GNNs) are proposed without considering the selection bias in data, i.e., the inconsistent distribution between the training set with test set.…
cs.LG2021★ 9 cited
Generalizing Graph Neural Networks on Out-Of-Distribution Graphs
Shaohua Fan, Xiao Wang, Chuan Shi +2
Graph Neural Networks (GNNs) are proposed without considering the agnostic distribution shifts between training and testing graphs, inducing the degeneration of the generalization…