This paper focuses on an important type of black-box attacks, i.e.,
tran...
Graph Neural Networks (GNNs) have shown remarkable success in graph
repr...
The current success of Graph Neural Networks (GNNs) usually relies on lo...
Academic networks in the real world can usually be portrayed as heteroge...
Heterogeneous graph learning has drawn significant attentions in recent
...
Graph Neural Networks (GNNs) have achieved tremendous success in graph
r...