Conference
Open access
Sep 2026
Adversarial Masked Graph Modeling for Robust Graph Autoencoders
This work designs a dual-consistency graph augmentation method that enriches the graph topology to mitigate structural vulnerabilities and presents an adversarial masked autoen-coder to mitigate model overfitting to the perturbed graph.
Qi-Qi Zhang, Chuan-Jin Liu, Gen Liu et al.
· Proceedings of the Thirty-Fi... · 0 citations