21 citations · 71 across the 17 of their papers we have counts for
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cs.LG2020★ 21 cited
Decimated Framelet System on Graphs and Fast G-Framelet Transforms
Xuebin Zheng, Bingxin Zhou, Yu Guang Wang +1
Graph representation learning has many real-world applications, from super-resolution imaging, 3D computer vision to drug repurposing, protein classification, social networks analy…
cs.LG2020★ 8 cited
MathNet: Haar-Like Wavelet Multiresolution-Analysis for Graph Representation and Learning
Xuebin Zheng, Bingxin Zhou, Ming Li +2
Graph Neural Networks (GNNs) have recently caught great attention and achieved significant progress in graph-level applications. In this paper, we propose a framework for graph neu…
cs.LG2020★ 2 cited
On the Trend-corrected Variant of Adaptive Stochastic Optimization Methods
Bingxin Zhou, Xuebin Zheng, Junbin Gao
Adam-type optimizers, as a class of adaptive moment estimation methods with the exponential moving average scheme, have been successfully used in many applications of deep learning…