This paper presents the SkipTree, a new balanced, distributed data structure for storing data with multidimensional keys in a peer-topeer network. The SkipTree supports range quer...
Graph data represents relationships, connections, or affinities. Innocent relationships produce repeated, and so common, substructures in graph data. We present techniques for dis...
Clustering aims at extracting hidden structure in dataset. While the problem of finding compact clusters has been widely studied in the literature, extracting arbitrarily formed ...
Mining graph patterns in large networks is critical to a variety of applications such as malware detection and biological module discovery. However, frequent subgraphs are often i...
As an alternative to vector representations, a recent trend in image classification suggests to integrate additional structural information in the description of images in order to...