3 citations · 7 across the 9 of their papers we have counts for
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cs.LG2023
Understanding and Improving Deep Graph Neural Networks: A Probabilistic Graphical Model Perspective
Jiayuan Chen, Xiang Zhang, Yinfei Xu +3
Recently, graph-based models designed for downstream tasks have significantly advanced research on graph neural networks (GNNs). GNN baselines based on neural message-passing mecha…
cs.LG2021★ 2 cited
A Generalizable Model-and-Data Driven Approach for Open-Set RFF Authentication
Renjie Xie, Wei Xu, Yanzhi Chen +4
Radio-frequency fingerprints~(RFFs) are promising solutions for realizing low-cost physical layer authentication. Machine learning-based methods have been proposed for RFF extracti…