Network dismantling, crucial for optimizing systems like immunization and rumor control, faces challenges in integrating higher-order structures to identify key nodes. Here, the authors introduce a Higher-order Graph Neural Network framework, demonstrating superior efficiency and resilience in dismantling networks by accurately targeting minimal nodes, impacting fields from ecology to cybersecurity.
- Wennan Zhou
- Suoyi Tan
- Xiang Zhao