With the development of highly efficient graph data collection technology in many application fields, classification of graph data emerges as an important topic in the data mining...
We present a novel application of graph database mining to identify tertiary motifs in RNA structures. In od, we abstract an RNA molecule as a labeled graph and use a frequent sub...
Xueyi Wang, Jun Huan, Jack Snoeyink, Wei Wang 0010
—We present a method for spotting a subgraph in a graph repository. Subgraph spotting is a very interesting research problem for various application domains where the use of a re...
Muhammad Muzzamil Luqman, Jean-Yves Ramel, Josep L...
Pattern mining methods for graph data have largely been restricted to ground features, such as frequent or correlated subgraphs. Kazius et al. have demonstrated the use of elaborat...
Andreas Maunz, Christoph Helma, Tobias Cramer, Ste...
Finding recurring residue packing patterns, or spatial motifs, that characterize protein structural families is an important problem in bioinformatics. To this end, we apply a nov...
Jun Huan, Wei Wang 0010, Deepak Bandyopadhyay, Jac...