12 citations · 23 across the 2 of their papers we have counts for
2 papers
cs.LG2023★ 11 cited
ContraNorm: A Contrastive Learning Perspective on Oversmoothing and Beyond
Xiaojun Guo, Yifei Wang, Tianqi Du +1
Oversmoothing is a common phenomenon in a wide range of Graph Neural Networks (GNNs) and Transformers, where performance worsens as the number of layers increases. Instead of chara…
cs.NI2020★ 12 cited
Predicting Channel Quality Indicators for 5G Downlink Scheduling in a Deep Learning Approach
Hao Yin, Xiaojun Guo, Pengyu Liu +2
5G networks provide more bandwidth and more complex control to enhance user's experiences, while also requiring a more accurate estimation of the communication channels compared wi…