Following discussions at the buildingSMART meeting in Chicago last week, and some research I have been doing into other similar formats, I would like to name 5 types or combinations of graphs that can ...

Abstract: Graph Neural Networks (GNNs) have drawn great research attention for graph machine learning. However, graph learning techniques are extremely difficult for practical deployments in the ...

The final, formatted version of the article will be published soon. In social networks the pattern of ties governs how information, influence, and opportunities circulate. Explaining these flows often ...

Graphs have been widely used to model relationships among data. For large graphs, excessive edge crossings make the display visually cluttered and thus difficult to explore. In this paper, we propose a ...