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Signed directed attention network

Published:2023-03-03 Issue:8 Volume:105 Page:1647-1671
ISSN:0010-485X
Container-title:Computing
language:en
Short-container-title:Computing

Author:

Wu Yong^ORCID,Wang Binjun,Li Wei,Liu Wenmao

Funder

National Social Science Fund of China

Open Research Fund of the Public Security Behavioral Science Laboratory of People’s Public Security University of China

CCF-Nsfocus “Kunpeng” Research Fund

Publisher

Springer Science and Business Media LLC

Subject

Computational Mathematics,Computational Theory and Mathematics,Computer Science Applications,Numerical Analysis,Theoretical Computer Science,Software

Link

https://link.springer.com/content/pdf/10.1007/s00607-023-01158-w.pdf

Reference30 articles.

1. Tian F, Gao B, Cui Q, Chen E, Liu T-Y (2014) Learning deep representations for graph clustering. In: Proceedings of the Twenty-Eighth AAAI conference on artificial intelligence, pp 1293–1299. https://doi.org/10.5555/2893873.2894074

2. Perozzi B, Al-Rfou R, Skiena S (2014) Deepwalk: Online learning of social representations. In: Proceedings of the 20th ACM SIGKDD international conference on knowledge discovery and data mining, pp 701–710. https://doi.org/10.1145/2623330.2623732

3. Zhang M, Chen Y (2018) Link prediction based on graph neural networks. Adv Neural Inf Process Syst 31:5165–5175. https://doi.org/10.5555/3327345.3327423

4. Tandon A, Albeshri A, Thayananthan V, Alhalabi W, Radicchi F, Fortunato S (2021) Community detection in networks using graph embeddings. Phys Rev E. https://doi.org/10.1103/PhysRevE.103.022316

5. Kunegis J, Schmidt S, Lommatzsch A, Lerner J, De Luca EW, Albayrak S (2010) Spectral analysis of signed graphs for clustering, prediction and visualization. In: Proceedings of the 2010 SIAM international conference on data mining, pp 559–570. https://doi.org/10.1137/1.9781611972801.49

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. SDEGNN: Signed graph neural network for link sign prediction enhanced by signed distance encoding;The Journal of Supercomputing;2024-05-28

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