Abstract: Graph neural networks (GNNs) have found successful applications in various graph-related tasks. However, recent studies have shown that many GNNs are vulnerable to adversarial attacks. In a ...
Abstract: The quantity of data increases exponentially with the advent of artificial intelligence which resulted in the emergence of a heterogeneous network data characterized by diverse structural ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results