2 papers
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-…
cs.LG2024
FlexiDrop: Theoretical Insights and Practical Advances in Random Dropout Method on GNNs
Zhiheng Zhou, Sihao Liu, Weichen Zhao
Graph Neural Networks (GNNs) are powerful tools for handling graph-type data. Recently, GNNs have been widely applied in various domains, but they also face some issues, such as ov…