Interpreting Graph Neural Networks with In-Distributed Proxies
Published in ICML 2024, 2024
This work generates in-distribution proxy graphs for explainable subgraphs, reducing distribution shift in GNN explanations.
Recommended citation: Zhuomin Chen, Jiaxing Zhang, Jingchao Ni, Xiaoting Li, Yuchen Bian, Md Mezbahul Islam, Ananda Mohan Mondal, Hua Wei, Dongsheng Luo. 2024. Interpreting Graph Neural Networks with In-Distributed Proxies. ICML 2024.
Recommended citation: Zhuomin Chen, Jiaxing Zhang, Jingchao Ni, Xiaoting Li, Yuchen Bian, Md Mezbahul Islam, Ananda Mohan Mondal, Hua Wei, Dongsheng Luo. 2024. Interpreting Graph Neural Networks with In-Distributed Proxies. International Conference on Machine Learning (ICML 2024). https://arxiv.org/abs/2402.02036