Trained with a sufficiently large training and testing dataset, Deep Neu...
The widespread adoption of Deep Neural Networks (DNNs) in important doma...
Graph Convolutional Networks (GCNs) have been widely used due to their
o...
Since its introduction in 2003, the influence maximization (IM) problem ...