5 citations · 7 across the 3 of their papers we have counts for
3 papers
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.CL2021★ 2 cited
TextRGNN: Residual Graph Neural Networks for Text Classification
Jiayuan Chen, Boyu Zhang, Yinfei Xu +1
Recently, text classification model based on graph neural network (GNN) has attracted more and more attention. Most of these models adopt a similar network paradigm, that is, using…
cs.CV2021★ 5 cited
Auto-Encoding Score Distribution Regression for Action Quality Assessment
Boyu Zhang, Jiayuan Chen, Yinfei Xu +3
The action quality assessment (AQA) of videos is a challenging vision task since the relation between videos and action scores is difficult to model. Thus, AQA has been widely stud…