Learning and Evaluating Graph Neural Network Explanations based on Counterfactual and Factual Reasoning.

Juntao Tan|Shijie Geng|Zuohui Fu|Yingqiang Ge|Shuyuan Xu|Yunqi Li|Yongfeng Zhang


Anthology ID:DBLP:conf/www/TanGFGX0Z22
Volume:WWW '22: The ACM Web Conference 2022, Virtual Event, Lyon, France, April 25 - 29, 2022
Year:2022
Venue:The Web Conference (WWW)
Publisher:ACM
Pages:1018-1027
URL:https://doi.org/10.1145/3485447.3511948
DOI:https://doi.org/10.1145/3485447.3511948
DBLP:conf/www/TanGFGX0Z22
BibTeX:
@inproceedings{tan-2022-learning, author = {Juntao Tan and Shijie Geng and Zuohui Fu and Yingqiang Ge and Shuyuan Xu and Yunqi Li and Yongfeng Zhang}, editor = {Fr\'{e}d\'{e}rique Laforest and Rapha\"{e}l Troncy and Elena Simperl and Deepak Agarwal and Aristides Gionis and Ivan Herman and Lionel M\'{e}dini}, title = {{Learning and Evaluating Graph Neural Network Explanations based on Counterfactual and Factual Reasoning}}, booktitle = {{WWW '22: The ACM Web Conference 2022, Virtual Event, Lyon, France, April 25 - 29, 2022}}, pages = {1018--1027}, publisher = {ACM}, year = {2022}, url = {https://doi.org/10.1145/3485447.3511948}, doi = {https://doi.org/10.1145/3485447.3511948} }