Abstract: Graph Convolutional Neural Networks (graph CNNs) have been widely used for graph data representation and semi-supervised learning tasks. However, existing graph CNNs generally use a fixed ...

The evolution of the modern graphics processor began with the introduction of the first 3D add-in cards in 1995. This development coincided with the widespread adoption of 32-bit operating systems and ...

Abstract: In several applications the information is naturally represented by graphs. Traditional approaches cope with graphical data structures using a preprocessing phase which transforms the graphs ...

You don't need a textbook to learn about people and events in other eras. These days kids can discover exciting history -- or examine harsh realities of the past -- in graphic novels. This popular ...