Exploring Robustness of GNN against Universal Injection Attack from a Worst-case Perspective.

Dandan Ni|Sheng Zhang|Cong Deng|Han Liu|Gang Chen|Minhao Cheng|Hongyang Chen


Anthology ID:DBLP:conf/cikm/NiZD00CC24
Volume:Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, CIKM 2024, Boise, ID, USA, October 21-25, 2024
Year:2024
Venue:International Conference on Information and Knowledge Management (CIKM)
Publisher:ACM
Pages:1785-1794
URL:https://doi.org/10.1145/3627673.3679862
DOI:https://doi.org/10.1145/3627673.3679862
DBLP:conf/cikm/NiZD00CC24
BibTeX:
@inproceedings{ni-2024-exploring, author = {Dandan Ni and Sheng Zhang and Cong Deng and Han Liu and Gang Chen and Minhao Cheng and Hongyang Chen}, editor = {Edoardo Serra and Francesca Spezzano}, title = {{Exploring Robustness of GNN against Universal Injection Attack from a Worst-case Perspective}}, booktitle = {{Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, CIKM 2024, Boise, ID, USA, October 21-25, 2024}}, pages = {1785--1794}, publisher = {ACM}, year = {2024}, url = {https://doi.org/10.1145/3627673.3679862}, doi = {https://doi.org/10.1145/3627673.3679862} }