Incomplete Graph Learning via Attribute-Structure Decoupled Variational Auto-Encoder-Reference-Cited by-同舟云学术

Incomplete Graph Learning via Attribute-Structure Decoupled Variational Auto-Encoder

Published:2024-03-04 Issue: Volume: Page:
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Container-title:Proceedings of the 17th ACM International Conference on Web Search and Data Mining
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Author:

Jiang Xinke¹^ORCID,Qin Zidi¹^ORCID,Xu Jiarong²^ORCID,Ao Xiang¹^ORCID

Affiliation:

1. Institute of Computing Technology, Chinese Academy of Sciences; University of Chinese Academy of Sciences, Beijing, China

2. Fudan University, Shanghai, China

Funder

National Natural Science Foundation of China under Grant

Beijing Nova Program

Project of Youth Innovation Promotion Association CAS

National Key R&D Plan

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3616855.3635769

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4. Xu Chen, Siheng Chen, Jiangchao Yao, Huangjie Zheng, Ya Zhang, and Ivor W. Tsang. 2020. Learning on attribute-missing graphs. IEEE TPAMI (2020).

5. Hejie Cui Zijie Lu Pan Li and Carl Yang. 2022. On positional and structural node features for graph neural networks on non-attributed graphs. In CIKM.

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