Translation Operator in Graph Signal Processing: A Generalized Approach
Amin Jalili, Sadid Sahami, and Chong-Yung Chi

TL;DR
This paper introduces a generalized translation operator for graph signals, extending classical shift concepts to irregular graph structures, and connects it to quantum dynamics via the Schrödinger equation.
Contribution
It proposes an isometric translation operator in the joint time-vertex domain and links graph translation to quantum-inspired dynamic systems.
Findings
Defined an abstract graph translation operator
Developed an isometric joint time-vertex translation operator
Connected graph translation to Schrödinger equation dynamics
Abstract
The notion of translation (shift) is straightforward in classical signal processing, however, it is challenging on an irregular graph structure. In this work, we present an approach to characterize the translation operator in various signal domains. By a natural generalization from classical domains, one can characterize an abstract representation for the graph translation operator. Then we propose an isometric translation operator in joint time-vertex domain consistent with the abstract form of translation operators in other domains. We also demonstrate the connection between this notion and the Schr\"{o}dinger equation on a dynamic system which intriguingly describes the idea behind translation on graph.
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Taxonomy
TopicsAdvanced Graph Neural Networks · Graph Theory and Algorithms · Complex Network Analysis Techniques
