With the greater emphasis on privacy and security in our society, the pr...
Out-of-distribution (OOD) generalization on graphs is drawing widespread...
Learning powerful representations is one central theme of graph neural
n...
Media recommender systems aim to capture users' preferences and provide
...
Deep generative adversarial networks (GANs) have gained growing populari...
With graphs rapidly growing in size and deeper graph neural networks (GN...
Generalizable, transferrable, and robust representation learning on
grap...