Yingxin Wu

According to our database, Yingxin Wu authored at least 5 papers between 2021 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2023

Reinforced Causal Explainer for Graph Neural Networks.

Xiang Wang, Yingxin Wu, An Zhang, Fuli Feng, Xiangnan He, Tat-Seng Chua

IEEE Trans. Pattern Anal. Mach. Intell., 2023

2022

Deconfounding to Explanation Evaluation in Graph Neural Networks.

Ying-Xin Wu, Xiang Wang, An Zhang, Xia Hu, Fuli Feng, Xiangnan He, Tat-Seng Chua

CoRR, 2022

Let Invariant Rationale Discovery Inspire Graph Contrastive Learning.

Sihang Li, Xiang Wang, An Zhang, Yingxin Wu, Xiangnan He, Tat-Seng Chua

Proceedings of the International Conference on Machine Learning, 2022

Discovering Invariant Rationales for Graph Neural Networks.

Yingxin Wu, Xiang Wang, An Zhang, Xiangnan He, Tat-Seng Chua

Proceedings of the Tenth International Conference on Learning Representations, 2022

2021

Towards Multi-Grained Explainability for Graph Neural Networks.

Xiang Wang, Ying-Xin Wu, An Zhang, Xiangnan He, Tat-Seng Chua

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021