The merit of automatic graph layout algorithms is typically judged on their computational efficiency and the extent to which they conform to aesthetic criteria (for example, minimi...
Helen C. Purchase, Jo-Anne Allder, David A. Carrin...
Event Graphs (EGs) and Simulation Graph Models provide a powerful and general modeling framework for discrete event simulation. Qualitative Event Graphs (QEGs) extend the EG frame...
Markov networks are a common class of graphical models used in machine learning. Such models use an undirected graph to capture dependency information among random variables in a ...
Abstract. We consider the problem of computing Nash Equilibria of action-graph games (AGGs). AGGs, introduced by Bhat and Leyton-Brown, is a succinct representation of games that e...
Constantinos Daskalakis, Grant Schoenebeck, Gregor...
There are various representations for encoding graph structures, such as artificial neural networks (ANNs) and circuits, each with its own strengths and weaknesses. Here we analyz...