182 citations · 683 across the 61 of their papers we have counts for
4 papers · 2 filters
Spatio-Temporal Graph Scattering Transform
Chao Pan, Siheng Chen, Antonio Ortega
Although spatio-temporal graph neural networks have achieved great empirical success in handling multiple correlated time series, they may be impractical in some real-world scenari…
Wireless 3D Point Cloud Delivery Using Deep Graph Neural Networks
Takuya Fujihashi, Toshiaki Koike-Akino, Siheng Chen +1
In typical point cloud delivery, a sender uses octree-based digital video compression to send three-dimensional (3D) points and color attributes over band-limited links. However, t…
Graph Unrolling Networks: Interpretable Neural Networks for Graph Signal Denoising
Siheng Chen, Yonina C. Eldar, Lingxiao Zhao
We propose an interpretable graph neural network framework to denoise single or multiple noisy graph signals. The proposed graph unrolling networks expand algorithm unrolling to th…
Efficient and Stable Graph Scattering Transforms via Pruning
Vassilis N. Ioannidis, Siheng Chen, Georgios B. Giannakis
Graph convolutional networks (GCNs) have well-documented performance in various graph learning tasks, but their analysis is still at its infancy. Graph scattering transforms (GSTs)…