1 citations · 1 across the 4 of their papers we have counts for
4 papers
Product Graph Learning from Multi-attribute Graph Signals with Inter-layer Coupling
Chenyue Zhang, Yiran He, Hoi-To Wai
This paper considers learning a product graph from multi-attribute graph signals. Our work is motivated by the widespread presence of multilayer networks that feature interactions…
On the Stability of Low Pass Graph Filter With a Large Number of Edge Rewires
Hoang-Son Nguyen, Yiran He, Hoi-To Wai
Recently, the stability of graph filters has been studied as one of the key theoretical properties driving the highly successful graph convolutional neural networks (GCNs). The sta…
Identifying First-order Lowpass Graph Signals using Perron Frobenius Theorem
Yiran He, Hoi-To Wai
This paper is concerned with the blind identification of graph filters from graph signals. Our aim is to determine if the graph filter generating the graph signals is first-order l…
Estimating Centrality Blindly from Low-pass Filtered Graph Signals
Yiran He, Hoi-To Wai
This paper considers blind methods for centrality estimation from graph signals. We model graph signals as the outcome of an unknown low-pass graph filter excited with influences g…