Trustworthy Graph Neural Networks: Aspects, Methods and Trends
Publication
, Journal Article
Zhang, H; Wu, B; Yuan, X; Pan, S; Tong, H; Pei, J
Published in: arXiv preprint arXiv:2205.07424
2022
Duke Scholars
Published In
arXiv preprint arXiv:2205.07424
Publication Date
2022
Related Subject Headings
- 4009 Electronics, sensors and digital hardware
- 0906 Electrical and Electronic Engineering
- 0903 Biomedical Engineering
- 0801 Artificial Intelligence and Image Processing
Citation
APA
Chicago
ICMJE
MLA
NLM
Zhang, H., Wu, B., Yuan, X., Pan, S., Tong, H., & Pei, J. (2022). Trustworthy Graph Neural Networks: Aspects, Methods and Trends. ArXiv Preprint ArXiv:2205.07424.
Zhang, He, Bang Wu, Xingliang Yuan, Shirui Pan, Hanghang Tong, and Jian Pei. “Trustworthy Graph Neural Networks: Aspects, Methods and Trends.” ArXiv Preprint ArXiv:2205.07424, 2022.
Zhang H, Wu B, Yuan X, Pan S, Tong H, Pei J. Trustworthy Graph Neural Networks: Aspects, Methods and Trends. arXiv preprint arXiv:220507424. 2022;
Zhang, He, et al. “Trustworthy Graph Neural Networks: Aspects, Methods and Trends.” ArXiv Preprint ArXiv:2205.07424, 2022.
Zhang H, Wu B, Yuan X, Pan S, Tong H, Pei J. Trustworthy Graph Neural Networks: Aspects, Methods and Trends. arXiv preprint arXiv:220507424. 2022;
Published In
arXiv preprint arXiv:2205.07424
Publication Date
2022
Related Subject Headings
- 4009 Electronics, sensors and digital hardware
- 0906 Electrical and Electronic Engineering
- 0903 Biomedical Engineering
- 0801 Artificial Intelligence and Image Processing