Graph neural networks (GNNs) have been widely used for representation
le...
Despite the success of invariant risk minimization (IRM) in tackling the...
Recently Graph Injection Attack (GIA) emerges as a practical attack scen...
Despite recent developments in using the invariance principle from causa...
Improving the resilience of a network protects the system from natural
d...
Graph representation learning is an important task with applications in
...
The graph Laplacian regularization term is usually used in semi-supervis...
Graph neural networks (GNNs) have attracted much attention because of th...