In the run-up to any major sports tournament, winning probabilities of
p...
Many data analysis problems rely on dynamic networks, such as social or
...
As one of the most popular machine learning models today, graph neural
n...
The minimum height of vertex and edge partition trees are well-studied g...
Stress minimization is among the best studied force-directed graph layou...
We point out two flaws in the algorithm of Brandes and Köpf (Proc. GD
20...
Random graph models are frequently used as a controllable and versatile ...
State-of-the-art link prediction utilizes combinations of complex featur...