24 citations · 60 across the 11 of their papers we have counts for
4 papers · 1 filter
Navigating Hierarchy: Hyperbolic Learning on Brain Graphs for Disorder Diagnosis
Yapeng Li, Bo Jiang, Ziyan Zhang +2
Functional brain networks exhibit a hierarchical organization across ROI, community, and whole-brain levels, supporting local processing, inter-community coordination, and global i…
Unified GCNs: Towards Connecting GCNs with CNNs
Ziyan Zhang, Bo Jiang, Bin Luo
Graph Convolutional Networks (GCNs) have been widely demonstrated their powerful ability in graph data representation and learning. Existing graph convolution layers are mainly des…
Multiple Graph Adversarial Learning
Bo Jiang, Ziyan Zhang, Jin Tang +1
Recently, Graph Convolutional Networks (GCNs) have been widely studied for graph-structured data representation and learning. However, in many real applications, data are coming wi…
Graph Learning-Convolutional Networks
Bo Jiang, Ziyan Zhang, Doudou Lin +1
Recently, graph Convolutional Neural Networks (graph CNNs) have been widely used for graph data representation and semi-supervised learning tasks. However, existing graph CNNs gene…