Minimum Entropy Principle Guided Graph Neural Networks-Reference-Cited by-同舟云学术

Minimum Entropy Principle Guided Graph Neural Networks

Published:2023-02-27 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the Sixteenth ACM International Conference on Web Search and Data Mining
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Author:

Yang Zhenyu¹^ORCID,Zhang Ge¹^ORCID,Wu Jia¹^ORCID,Yang Jian¹^ORCID,Sheng Quan Z.¹^ORCID,Peng Hao²^ORCID,Li Angsheng²^ORCID,Xue Shan³^ORCID,Su Jianlin⁴^ORCID

Affiliation:

1. Macquarie University, Sydney, NSW, Australia

2. Beihang University, Beijing, China

3. University of Wollongong, Wollongong, Australia

4. Shenzhen Zhuiyi Technology Co., Ltd., Shenzhen, China

Funder

Australian Research Council (ARC)

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3539597.3570467

Reference51 articles.

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3. Karsten M Borgwardt , Cheng Soon Ong , Stefan Schönauer, SVN Vishwanathan, Alex J Smola, and Hans-Peter Kriegel. 2005 . Protein Function Prediction via Graph Kernels. Bioinformatics ( 2005), 47--56. Karsten M Borgwardt, Cheng Soon Ong, Stefan Schönauer, SVN Vishwanathan, Alex J Smola, and Hans-Peter Kriegel. 2005. Protein Function Prediction via Graph Kernels. Bioinformatics (2005), 47--56.

4. Cluster-GCN

5. Matthias Dehmer. 2008. Information Processing in Complex Networks: Graph Entropy and Information Functionals. Appl. Math. Comput. (2008) 82--94. Matthias Dehmer. 2008. Information Processing in Complex Networks: Graph Entropy and Information Functionals. Appl. Math. Comput. (2008) 82--94.

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