most citedDGCNN: Disordered Graph Convolutional Neural Network Based on the Gaussian Mixture Model

5 citations · 6 across the 2 of their papers we have counts for

collaborators

2 papers

cs.CV2020★ 1 cited

MG-SAGC: A multiscale graph and its self-adaptive graph convolution network for 3D point clouds

Bo Wu, Bo Lang

To enhance the ability of neural networks to extract local point cloud features and improve their quality, in this paper, we propose a multiscale graph generation method and a self…

cs.LG2017★ 5 cited

DGCNN: Disordered Graph Convolutional Neural Network Based on the Gaussian Mixture Model

Bo Wu, Yang Liu, Bo Lang +1

Convolutional neural networks (CNNs) can be applied to graph similarity matching, in which case they are called graph CNNs. Graph CNNs are attracting increasing attention due to th…