#graph signal processing
try —
3 papers match
eess.SP2026
Topology-based Filtering of Graph Signals via Persistent Homology
Matias de Jong van Lier, Sebastián ElÃas Graiff Zurita, Shizuo Kaji
The paper introduces a topology-based filter for signals defined on graph vertices and mesh faces that removes features with low topological persistence, offering a controllable al…
#graph signal processing#persistent homology#topological data analysis#filter design
cs.LG2026
Gauge-Invariant, Parameter-Insensitive Regularization for Potential Recovery from Flow on Directed Graphs
Mohammad Forouhesh
The paper proposes a gauge‑invariant regularization based on the graph Dirichlet energy to recover latent potentials from flow data on directed graphs, achieving stable estimates a…
#graph signal processing#inverse problems#regularization#directed graphs
eess.SP2026
Harmonic Analysis on Graphs via Isometric Group Embedding: A Canonical Fourier Transform, Shift, and Convolution for Network Signals
Rigobert Fokam Souop, Laurent Bitjoka
The paper proposes a new harmonic analysis framework for graph signals by embedding a graph isometrically into a Cayley graph of a finite abelian group, enabling a canonical Fourie…
#graph signal processing#harmonic analysis#group embedding#cayley graphs