5 citations · 7 across the 5 of their papers we have counts for
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cs.LG2021
Time-varying Graph Learning Under Structured Temporal Priors
Xiang Zhang, Qiao Wang
This paper endeavors to learn time-varying graphs by using structured temporal priors that assume underlying relations between arbitrary two graphs in the graph sequence. Different…
cs.LG2021★ 2 cited
Robust Graph Learning Under Wasserstein Uncertainty
Xiang Zhang, Yinfei Xu, Qinghe Liu +3
Graphs are playing a crucial role in different fields since they are powerful tools to unveil intrinsic relationships among signals. In many scenarios, an accurate graph structure…
cs.LG2017★ 5 cited
Equivalence between LINE and Matrix Factorization
Qiao Wang, Zheng Wang, Xiaojun Ye
LINE [1], as an efficient network embedding method, has shown its effectiveness in dealing with large-scale undirected, directed, and/or weighted networks. Particularly, it propose…