4 papers · 1 filter
Adaptive Spatio-temporal Estimation on the Graph Edges via Line Graph Transformation
Yi Yan, Ercan Engin Kuruoglu
Spatial-temporal estimation of signals on graph edges is challenging because most conventional Graph Signal Processing techniques are defined on the graph nodes. Leveraging the Lin…
Signal Processing over Time-Varying Graphs: A Systematic Review
Yi Yan, Jiacheng Hou, Zhenjie Song +1
As irregularly structured data representations, graphs have received a large amount of attention in recent years and have been widely applied to various real-world scenarios such a…
Graph Signal Adaptive Message Passing
Yi Yan, Changran Peng, Ercan Engin Kuruoglu
This paper proposes Graph Signal Adaptive Message Passing (GSAMP), a novel message passing method that simultaneously conducts online prediction, missing data imputation, and noise…
Time-varying Graph Signal Estimation via Dynamic Multi-hop Topologies
Yi Yan, Fengfan Zhao, Ercan Engin Kuruoglu
The assumption of using a static graph to represent multivariate time-varying signals oversimplifies the complexity of modeling their interactions over time. We propose a Dynamic M…