Multi-label Feature Selection for Graph Classification

  title={Multi-label Feature Selection for Graph Classification},
  author={Xiangnan Kong and Philip S. Yu},
  journal={2010 IEEE International Conference on Data Mining},
Nowadays, the classification of graph data has become an important and active research topic in the last decade, which has a wide variety of real world applications, e.g. drug activity predictions and kinase inhibitor discovery. Current research on graph classification focuses on single-label settings. However, in many applications, each graph data can be assigned with a set of multiple labels simultaneously. Extracting good features using multiple labels of the graphs becomes an important step… CONTINUE READING
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