Abstract: Graph pattern mining discovers important patterns in graphs. It is both computation-and memory-intensive, characterized by numerous set operations and irregular memory access. Graph pattern ...

Abstract: Selecting representative features and avoiding redundant features are crux of constructing learning methods in knowledge discovery, which is a more challenging work in multilabel data sets.