APA (7th ed.) Citation

Pei, Y., Huang, T., van Ipenburg, W., & Pechenizkiy, M. (2022). ResGCN: Attention-based deep residual modeling for anomaly detection on attributed networks. Machine learning, 111(2), 519-541. https://doi.org/10.1007/s10994-021-06044-0

Chicago Style (17th ed.) Citation

Pei, Yulong, Tianjin Huang, Werner van Ipenburg, and Mykola Pechenizkiy. "ResGCN: Attention-based Deep Residual Modeling for Anomaly Detection on Attributed Networks." Machine Learning 111, no. 2 (2022): 519-541. https://doi.org/10.1007/s10994-021-06044-0.

MLA (9th ed.) Citation

Pei, Yulong, et al. "ResGCN: Attention-based Deep Residual Modeling for Anomaly Detection on Attributed Networks." Machine Learning, vol. 111, no. 2, 2022, pp. 519-541, https://doi.org/10.1007/s10994-021-06044-0.