GNNShap: Scalable and Accurate GNN Explanation using Shapley Values.

Selahattin Akkas|Ariful Azad


Anthology ID:DBLP:conf/www/AkkasA24
Volume:Proceedings of the ACM on Web Conference 2024, WWW 2024, Singapore, May 13-17, 2024
Year:2024
Venue:The Web Conference (WWW)
Publisher:ACM
Pages:827-838
URL:https://doi.org/10.1145/3589334.3645599
DOI:https://doi.org/10.1145/3589334.3645599
DBLP:conf/www/AkkasA24
BibTeX:
@inproceedings{akkas-2024-gnnshap, author = {Selahattin Akkas and Ariful Azad}, editor = {Tat-Seng Chua and Chong-Wah Ngo and Ravi Kumar and Hady Wirawan Lauw and Roy Ka-Wei Lee}, title = {{GNNShap: Scalable and Accurate GNN Explanation using Shapley Values}}, booktitle = {{Proceedings of the ACM on Web Conference 2024, WWW 2024, Singapore, May 13-17, 2024}}, pages = {827--838}, publisher = {ACM}, year = {2024}, url = {https://doi.org/10.1145/3589334.3645599}, doi = {https://doi.org/10.1145/3589334.3645599} }