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Found 6 papers, 0 papers with code
Detecting Low Pass Graph Signals via Spectral Pattern: Sampling Complexity and Applications
This paper proposes a blind detection problem for low pass graph signals.
Product Graph Learning from Multi-attribute Graph Signals with Inter-layer Coupling
This paper considers learning a product graph from multi-attribute graph signals.
Online Inference for Mixture Model of Streaming Graph Signals with Non-White Excitation
We study a mixture model of filtered low pass graph signals with possibly non-white and low-rank excitation.
On the Stability of Low Pass Graph Filter With a Large Number of Edge Rewires
The stability of a graph filter characterizes the effect of topology perturbation on the output of a graph filter, a fundamental building block for GCNs.
Detecting Central Nodes from Low-rank Excited Graph Signals via Structured Factor Analysis
For general low pass graph filter, we show that the graph signals can be described by a structured factor model featuring the product between a low-rank plus sparse factor and an unstructured factor.
Identifying First-order Lowpass Graph Signals using Perron Frobenius Theorem
Utilizing this observation, we develop a simple detector that answers if a given data set is produced by a first-order lowpass graph filter.
