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Learning Product Graphs from Multidomain Signals

Abstract: 

In this paper, we focus on learning the underlying product graph structure from multidomain training data. We assume that the product graph is formed from a Cartesian graph product of two smaller factor graphs. We then pose the product graph learning problem as the factor graph Laplacian matrix estimation problem. To estimate the factor graph Laplacian matrices, we assume that the data is smooth with respect to the underlying product graph. When the training data is noise free or complete, learning factor graphs can be formulated as a convex optimization problem, which has an explicit solution based on the water-filling algorithm. The developed framework is illustrated using numerical experiments on synthetic data as well as real data related to air quality monitoring in India.

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Paper Details

Authors:
Sai Kiran Kadambari, Sundeep Prabhakar Chepuri
Submitted On:
14 May 2020 - 7:38pm
Short Link:
Type:
Presentation Slides
Event:
Presenter's Name:
Kadambari Sai Kiran
Paper Code:
SPTM-P3.8
Document Year:
2020
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Document Files

ICASSP20_Slides_sai.pdf

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[1] Sai Kiran Kadambari, Sundeep Prabhakar Chepuri, "Learning Product Graphs from Multidomain Signals", IEEE SigPort, 2020. [Online]. Available: http://sigport.org/5325. Accessed: Jul. 16, 2020.
@article{5325-20,
url = {http://sigport.org/5325},
author = {Sai Kiran Kadambari; Sundeep Prabhakar Chepuri },
publisher = {IEEE SigPort},
title = {Learning Product Graphs from Multidomain Signals},
year = {2020} }
TY - EJOUR
T1 - Learning Product Graphs from Multidomain Signals
AU - Sai Kiran Kadambari; Sundeep Prabhakar Chepuri
PY - 2020
PB - IEEE SigPort
UR - http://sigport.org/5325
ER -
Sai Kiran Kadambari, Sundeep Prabhakar Chepuri. (2020). Learning Product Graphs from Multidomain Signals. IEEE SigPort. http://sigport.org/5325
Sai Kiran Kadambari, Sundeep Prabhakar Chepuri, 2020. Learning Product Graphs from Multidomain Signals. Available at: http://sigport.org/5325.
Sai Kiran Kadambari, Sundeep Prabhakar Chepuri. (2020). "Learning Product Graphs from Multidomain Signals." Web.
1. Sai Kiran Kadambari, Sundeep Prabhakar Chepuri. Learning Product Graphs from Multidomain Signals [Internet]. IEEE SigPort; 2020. Available from : http://sigport.org/5325