Homophily principle,\ie {} nodes with the same labels or similar attributes are more likely to
be connected, has been commonly believed to be the main reason for the superiority of …

Graph neural networks (GNN) are vulnerable to adversarial attacks, which aim to degrade
the performance of GNNs through imperceptible changes on the graph. However, we find …

To mitigate the suboptimal nature of graph structure, Graph Structure Learning (GSL) has
emerged as a promising approach to improve graph structure and boost performance in …