ProGAP: Progressive Graph Neural Networks with Differential Privacy Guarantees.

Sina Sajadmanesh|Daniel Gatica-Perez


Anthology ID:DBLP:conf/wsdm/SajadmaneshG24
Volume:Proceedings of the 17th ACM International Conference on Web Search and Data Mining, WSDM 2024, Merida, Mexico, March 4-8, 2024
Year:2024
Venue:Web Search and Data Mining (WSDM)
Publisher:ACM
Pages:596-605
URL:https://doi.org/10.1145/3616855.3635761
DOI:https://doi.org/10.1145/3616855.3635761
DBLP:conf/wsdm/SajadmaneshG24
BibTeX:
@inproceedings{sajadmanesh-2024-progap, author = {Sina Sajadmanesh and Daniel Gatica-Perez}, editor = {Luz Angelica Caudillo-Mata and Silvio Lattanzi and Andr\'{e}s Mu\~{n}oz Medina and Leman Akoglu and Aristides Gionis and Sergei Vassilvitskii}, title = {{ProGAP: Progressive Graph Neural Networks with Differential Privacy Guarantees}}, booktitle = {{Proceedings of the 17th ACM International Conference on Web Search and Data Mining, WSDM 2024, Merida, Mexico, March 4-8, 2024}}, pages = {596--605}, publisher = {ACM}, year = {2024}, url = {https://doi.org/10.1145/3616855.3635761}, doi = {https://doi.org/10.1145/3616855.3635761} }