Graph mining. Idea. Single-graph and multiple-graph (database of graphs) settings. Graph properties useful for graph mining. Similarity measures for graphs

Frequent subgraph mining. 

Between-graph and within-graph classification/regression

Clustering graphs and nodes

Appplications of supervised and unsupervised graph mining. An example of web mining application