18 citations · 54 across the 14 of their papers we have counts for
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cs.SI2017★ 4 cited
Learning Graph Topological Features via GAN
Weiyi Liu, Hal Cooper, Min Hwan Oh +4
Inspired by the generation power of generative adversarial networks (GANs) in image domains, we introduce a novel hierarchical architecture for learning characteristic topological…
cs.LG2017★ 5 cited
Can GAN Learn Topological Features of a Graph?
Weiyi Liu, Pin-Yu Chen, Hal Cooper +3
This paper is first-line research expanding GANs into graph topology analysis. By leveraging the hierarchical connectivity structure of a graph, we have demonstrated that generativ…