Cite
Bridging Smoothness and Approximation: Theoretical Insights into Over-Smoothing in Graph Neural Networks
MLA
Yang, Guangrui, et al. Bridging Smoothness and Approximation: Theoretical Insights into Over-Smoothing in Graph Neural Networks. 2024. EBSCOhost, widgets.ebscohost.com/prod/customlink/proxify/proxify.php?count=1&encode=0&proxy=&find_1=&replace_1=&target=https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&scope=site&db=edsarx&AN=edsarx.2407.01281&authtype=sso&custid=ns315887.
APA
Yang, G., Li, J., Li, M., Feng, H., & Zhou, D.-X. (2024). Bridging Smoothness and Approximation: Theoretical Insights into Over-Smoothing in Graph Neural Networks.
Chicago
Yang, Guangrui, Jianfei Li, Ming Li, Han Feng, and Ding-Xuan Zhou. 2024. “Bridging Smoothness and Approximation: Theoretical Insights into Over-Smoothing in Graph Neural Networks.” http://widgets.ebscohost.com/prod/customlink/proxify/proxify.php?count=1&encode=0&proxy=&find_1=&replace_1=&target=https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&scope=site&db=edsarx&AN=edsarx.2407.01281&authtype=sso&custid=ns315887.