1 citations · 1 across the 2 of their papers we have counts for
2 papers
cs.LG2022
Heterogeneous Graph Tree Networks
Nan Wu, Chaofan Wang
Heterogeneous graph neural networks (HGNNs) have attracted increasing research interest in recent three years. Most existing HGNNs fall into two classes. One class is meta-path-bas…
cs.LG2022★ 1 cited
GTNet: A Tree-Based Deep Graph Learning Architecture
Nan Wu, Chaofan Wang
We propose Graph Tree Networks (GTNets), a deep graph learning architecture with a new general message passing scheme that originates from the tree representation of graphs. In the…