2 papers
cs.LG2026
Frequency-Corrupt Based Graph Self-Supervised Learning
Haojie Li, Mengjiao Zhang, Guanfeng Liu +3
Graph self-supervised learning can reduce the need for labeled graph data and has been widely used in recommendation, social networks, and other web applications. However, existing…
eess.SY2026
Invariance of Competition Outcomes in Hypergraph Competitive Dynamics
Qi Zhao, Shaoxuan Cui, Baolin Zhang +2
Winner-take-all (WTA)--type selection is a fundamental mechanism in networked competition, yet its dependence on higher-order interactions remains insufficiently understood. We stu…