HeteClass: A Meta-path based framework for transductive classification of objects in heterogeneous information networks

作者：

Highlights：

• Novel framework HeteClass is proposed for classification in heterogeneous networks.

• Network schema of heterogeneous network is explored to generate meta-paths.

• Effective weight learning method is proposed to determine weights of meta-paths.

• Experiments on real-world datasets show the effectiveness of HeteClass.

摘要

•Novel framework HeteClass is proposed for classification in heterogeneous networks.•Network schema of heterogeneous network is explored to generate meta-paths.•Effective weight learning method is proposed to determine weights of meta-paths.•Experiments on real-world datasets show the effectiveness of HeteClass.

论文关键词：Heterogeneous information network,Meta-path,Transductive classification,Weight learning

论文评审过程：Received 20 April 2016, Revised 9 October 2016, Accepted 10 October 2016, Available online 11 October 2016, Version of Record 20 October 2016.

论文官网地址：https://doi.org/10.1016/j.eswa.2016.10.013