gMLC: a multi-label feature selection framework for graph classification

Xiangnan Kong; Philip S. Yu

doi:10.1007/s10115-011-0407-3

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gMLC: a multi-label feature selection framework for graph classification

Xiangnan Kong Philip S. Yu

Year: 2011 Journal: Knowledge and Information Systems Vol: 31 (2)Pages: 281-305 Publisher: Springer Science+Business Media

DOI: 10.1007/s10115-011-0407-3

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Keywords:

Feature selection Graph Pruning Feature vector Computer science Pattern recognition (psychology) Induced subgraph isomorphism problem Subgraph isomorphism problem Artificial intelligence Mathematics Data mining Theoretical computer science Line graph Voltage graph

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gMLC: a multi-label feature selection framework for graph classification

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