Abstract: Computing graph-propagation based node similarities is a fundamental operator in many graph mining and graph learning tasks. The state-of-the-art approach to compute the graph-propagation ...

Abstract: Graph Neural Networks (GNNs) have achieved remarkable success across various fields over graph data. Nevertheless, recent research has found that GNNs are vulnerable to adversarial attacks, ...