RegExplainer: Generating Explanations for Graph Neural Networks in Regression Tasks
Published in Advances in Neural Information Processing Systems (NeurIPS 2024), 2024
RegExplainer extends GNN explanation to regression tasks and addresses both distribution shift and continuously ordered targets.
Recommended citation: Jiaxing Zhang, Zhuomin Chen, Hao Mei, Longchao Da, Dongsheng Luo, Hua Wei. 2024. RegExplainer: Generating Explanations for Graph Neural Networks in Regression Tasks. NeurIPS 2024.
Recommended citation: Jiaxing Zhang, Zhuomin Chen, Hao Mei, Longchao Da, Dongsheng Luo, Hua Wei. 2024. RegExplainer: Generating Explanations for Graph Neural Networks in Regression Tasks. Advances in Neural Information Processing Systems 37 (NeurIPS 2024), 79282-79306. https://proceedings.neurips.cc/paper_files/paper/2024/hash/909f526db5127f8bd8158af32d9e313a-Abstract-Conference.html