HeteClass: A Meta-path based framework for transductive classification of objects in heterogeneous information networks
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- 作者：Mukul Gupta ; fpm13008@iiml.ac.in" class="auth_mail" title="E-mail the corresponding author ; Pradeep Kumar pradeepkumar@iiml.ac.in" class="auth_mail" title="E-mail the corresponding author ; Bharat Bhasker bhasker@iiml.ac.in" class="auth_mail" title="E-mail the corresponding author
- 关键词：Heterogeneous information network ; Meta-path ; Transductive classification ; Weight learning
- 刊名：Expert Systems with Applications
- 出版年：2017
- 出版时间：February 2017
- 年：2017
- 卷：68
- 期：Complete
- 页码：106-122
- 全文大小：6035 K
文摘
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Novel framework HeteClass is proposed for classification in heterogeneous networks.
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Network schema of heterogeneous network is explored to generate meta-paths.
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Effective weight learning method is proposed to determine weights of meta-paths.
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Experiments on real-world datasets show the effectiveness of HeteClass.