21 citations · 71 across the 17 of their papers we have counts for
4 papers · 1 filter
Approximate Equivariance SO(3) Needlet Convolution
Kai Yi, Jialin Chen, Yu Guang Wang +4
This paper develops a rotation-invariant needlet convolution for rotation group SO(3) to distill multiscale information of spherical signals. The spherical needlet transform is gen…
How GNNs Facilitate CNNs in Mining Geometric Information from Large-Scale Medical Images
Yiqing Shen, Bingxin Zhou, Xinye Xiong +2
Gigapixel medical images provide massive data, both morphological textures and spatial information, to be mined. Due to the large data scale in histology, deep learning methods pla…
Embedding Graphs on Grassmann Manifold
Bingxin Zhou, Xuebin Zheng, Yu Guang Wang +2
Learning efficient graph representation is the key to favorably addressing downstream tasks on graphs, such as node or graph property prediction. Given the non-Euclidean structural…
Robust Graph Representation Learning for Local Corruption Recovery
Bingxin Zhou, Yuanhong Jiang, Yu Guang Wang +4
The performance of graph representation learning is affected by the quality of graph input. While existing research usually pursues a globally smoothed graph embedding, we believe…