Cita APA (7a ed.)

Li, D., Wu, H., Xie, M., Wu, X., Wu, Z., & Zhang, W. (2024). Talos: A More Effective and Efficient Adversarial Defense for GNN Models Based on the Global Homophily of Graphs.

Cita Chicago Style (17a ed.)

Li, Duanyu, Huijun Wu, Min Xie, Xugang Wu, Zhenwei Wu, y Wenzhe Zhang. Talos: A More Effective and Efficient Adversarial Defense for GNN Models Based on the Global Homophily of Graphs. 2024.

Cita MLA (9a ed.)

Li, Duanyu, et al. Talos: A More Effective and Efficient Adversarial Defense for GNN Models Based on the Global Homophily of Graphs. 2024.