5 citations · 5 across the 2 of their papers we have counts for
2 papers
eess.IV2021
Structure-Preserving Graph Kernel for Brain Network Classification
Jun Yu, Zhaoming Kong, Aditya Kendre +5
This paper presents a novel graph-based kernel learning approach for connectome analysis. Specifically, we demonstrate how to leverage the naturally available structure within the…
cs.CV2021★ 5 cited
Multiplex Graph Networks for Multimodal Brain Network Analysis
Zhaoming Kong, Lichao Sun, Hao Peng +3
In this paper, we propose MGNet, a simple and effective multiplex graph convolutional network (GCN) model for multimodal brain network analysis. The proposed method integrates tens…