2 papers
cs.LG2020
DiffMG: Differentiable Meta Graph Search for Heterogeneous Graph Neural Networks
Yuhui Ding, Quanming Yao, Huan Zhao +1
In this paper, we propose a novel framework to automatically utilize task-dependent semantic information which is encoded in heterogeneous information networks (HINs). Specifically…
cs.SI2019
Learning to Identify High Betweenness Centrality Nodes from Scratch: A Novel Graph Neural Network Approach
Changjun Fan, Li Zeng, Yuhui Ding +3
Betweenness centrality (BC) is one of the most used centrality measures for network analysis, which seeks to describe the importance of nodes in a network in terms of the fraction…