subgraph mining

Multiple structure-view learning for graph classification
Many applications involve objects containing structure and rich content information, each describing different feature aspects of the …
PDF Cite DOI
Task sensitive feature exploration and learning for multitask graph classification
Multitask learning (MTL) is commonly used for jointly optimizing multiple learning tasks. To date, all existing MTL methods have been …
DOI
Multi-graph-view subgraph mining for graph classification
In this paper, we formulate a new multi-graph-view learning task, where each object to be classified contains graphs from multiple …
DOI
Boosting for multi-graph classification
In this paper, we formulate a novel graph-based learning problem, multi-graph classification (MGC), which aims to learn a classifier …
DOI
Multi-graph-view Learning for Graph Classification
Graph classification has traditionally focused on graphs generated from a single feature view. In many applications, it is common to …
DOI