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 …
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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 …
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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 …
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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 …
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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 …
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