10 citations · 15 across the 2 of their papers we have counts for
3 papers
cs.LG2018
Scalable attribute-aware network embedding with locality
Weiyi Liu, Zhining Liu, Toyotaro Suzumura +1
Adding attributes for nodes to network embedding helps to improve the ability of the learned joint representation to depict features from topology and attributes simultaneously. Re…
cs.SI2017★ 10 cited
Principled Multilayer Network Embedding
Weiyi Liu, Pin-Yu Chen, Sailung Yeung +2
Multilayer network analysis has become a vital tool for understanding different relationships and their interactions in a complex system, where each layer in a multilayer network d…
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…