2 papers
cs.LG2025
Unlearning Inversion Attacks for Graph Neural Networks
Jiahao Zhang, Yilong Wang, Zhiwei Zhang +2
Graph unlearning methods aim to efficiently remove the impact of sensitive data from trained GNNs without full retraining, assuming that deleted information cannot be recovered. In…
cs.NI2025
Traffic Engineering in Large-scale Networks with Generalizable Graph Neural Networks
Fangtong Zhou, Xiaorui Liu, Ruozhou Yu +1
Traffic Engineering (TE) in large-scale networks like cloud Wide Area Networks (WANs) and Low Earth Orbit (LEO) satellite constellations is a critical challenge. Although learning-…