Contrastive Learning for Signed Bipartite Graphs-Reference-Cited by-同舟云学术

Contrastive Learning for Signed Bipartite Graphs

Published:2023-07-18 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval
language:
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Author:

Zhang Zeyu¹^ORCID,Liu Jiamou²^ORCID,Zhao Kaiqi²^ORCID,Yang Song²^ORCID,Zheng Xianda²^ORCID,Wang Yifei²^ORCID

Affiliation:

1. University of Electronic Science and Technology of China & The University of Auckland, Chengdu, China

2. The University of Auckland, Auckland, New Zealand

Funder

Marsden Fund Council

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3539618.3591655

Reference39 articles.

1. Discovering Polarized Communities in Signed Networks

2. Bipartite Graph Embedding via Mutual Information Maximization

3. Scalable clustering of signed networks using balance normalized cut

4. Enyan Dai , Tianxiang Zhao , Huaisheng Zhu , Junjie Xu , Zhimeng Guo , Hui Liu , Jiliang Tang , and Suhang Wang . 2022. A Comprehensive Survey on Trustworthy Graph Neural Networks: Privacy , Robustness, Fairness, and Explainability. arXiv preprint arXiv:2204.08570 ( 2022 ). Enyan Dai, Tianxiang Zhao, Huaisheng Zhu, Junjie Xu, Zhimeng Guo, Hui Liu, Jiliang Tang, and Suhang Wang. 2022. A Comprehensive Survey on Trustworthy Graph Neural Networks: Privacy, Robustness, Fairness, and Explainability. arXiv preprint arXiv:2204.08570 (2022).

5. Balance in Signed Bipartite Networks

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