3 citations · 4 across the 2 of their papers we have counts for
2 papers
stat.ML2022★ 1 cited
Realistic Counterfactual Explanations with Learned Relations
Xintao Xiang, Artem Lenskiy
Many existing methods of counterfactual explanations ignore the intrinsic relationships between data attributes and thus fail to generate realistic counterfactuals. Moreover, the e…
cs.LG2021★ 3 cited
Learning to Evolve on Dynamic Graphs
Xintao Xiang, Tiancheng Huang, Donglin Wang
Representation learning in dynamic graphs is a challenging problem because the topology of graph and node features vary at different time. This requires the model to be able to eff…