Everything Perturbed All at Once: Enabling Differentiable Graph Attacks

Haoran Liu, Bokun Wang, Jianling Wang +3

As powerful tools for representation learning on graphs, graph neural networks (GNNs) have played an important role in applications including social networks, recommendation system…