19 citations · 23 across the 7 of their papers we have counts for
7 papers
Detecting Low Pass Graph Signals via Spectral Pattern: Sampling Complexity and Applications
Chenyue Zhang, Yiran He, Hoi-To Wai
This paper proposes a blind detection problem for low pass graph signals. Without assuming knowledge of the exact graph topology, we aim to detect if a set of graph signal observat…
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…
Online Inference for Mixture Model of Streaming Graph Signals with Non-White Excitation
Yiran He, Hoi-To Wai
This paper considers a joint multi-graph inference and clustering problem for simultaneous inference of node centrality and association of graph signals with their graphs. We study…
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…
Detecting Central Nodes from Low-rank Excited Graph Signals via Structured Factor Analysis
Yiran He, Hoi-To Wai
This paper treats a blind detection problem to identify the central nodes in a graph from filtered graph signals. Unlike prior works which impose strong restrictions on the data mo…
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…