Cite
Megnn: Meta-path extracted graph neural network for heterogeneous graph representation learning.
MLA
Chang, Yaomin, et al. “Megnn: Meta-Path Extracted Graph Neural Network for Heterogeneous Graph Representation Learning.” Knowledge-Based Systems, vol. 235, Jan. 2022, p. N.PAG. EBSCOhost, https://doi.org/10.1016/j.knosys.2021.107611.
APA
Chang, Y., Chen, C., Hu, W., Zheng, Z., Zhou, X., & Chen, S. (2022). Megnn: Meta-path extracted graph neural network for heterogeneous graph representation learning. Knowledge-Based Systems, 235, N.PAG. https://doi.org/10.1016/j.knosys.2021.107611
Chicago
Chang, Yaomin, Chuan Chen, Weibo Hu, Zibin Zheng, Xiaocong Zhou, and Shouzhi Chen. 2022. “Megnn: Meta-Path Extracted Graph Neural Network for Heterogeneous Graph Representation Learning.” Knowledge-Based Systems 235 (January): N.PAG. doi:10.1016/j.knosys.2021.107611.