To show the graphical structure, right click the appropriate BayesNet in result list of the Explorer. A menu pops up, in which you select ``Visualize graph''.
The Bayes network is automatically layed out and drawn thanks to a graph drawing algorithm implemented by Ashraf Kibriya.
When you hover the mouse over a node, the node lights up and all its children are highlighted as well, so that it is easy to identify the relation between nodes in crowded graphs.
Saving Bayes nets You can save the Bayes network to file in the graph visualizer. You have the choice to save as XML BIF format or as dot format. Select the floppy button and a file save dialog pops up that allows you to select the file name and file format.
Zoom The graph visualizer has two buttons to zoom in and out. Also, the exact zoom desired can be entered in the zoom percentage entry. Hit enter to redraw at the desired zoom level.
Graph drawing options Hit the 'extra controls' button to show extra options that control the graph layout settings.
The Layout Type determines the algorithm applied to place the nodes.
The Layout Method determines in which direction nodes are considered.
The Edge Concentration toggle allows edges to be partially merged.
The Custom Node Size can be used to override the automatically determined node size.
When you click a node in the Bayesian net, a window with the probability table of the node clicked pops up. The left side shows the parent attributes and lists the values of the parents, the right side shows the probability of the node clicked conditioned on the values of the parents listed on the left.
So, the graph visualizer allows you to inspect both network structure and probability tables.