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Graph Filters for Signal Processing and Machine Learning on Graphs


Nov 16, 2022
Elvin Isufi, Fernando Gama, David I. Shuman, Santiago Segarra


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Unsupervised Optimal Power Flow Using Graph Neural Networks


Oct 17, 2022
Damian Owerko, Fernando Gama, Alejandro Ribeiro

* Submitted to IEEE Transactions on Power Systems 

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Stability of Aggregation Graph Neural Networks


Jul 08, 2022
Alejandro Parada-Mayorga, Zhiyang Wang, Fernando Gama, Alejandro Ribeiro


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On Local Distributions in Graph Signal Processing


Feb 22, 2022
T. Mitchell Roddenberry, Fernando Gama, Richard G. Baraniuk, Santiago Segarra


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Stability Analysis of Unfolded WMMSE for Power Allocation


Oct 14, 2021
Arindam Chowdhury, Fernando Gama, Santiago Segarra

* Under review at IEEE ICASSP 2022 

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Unrolling Particles: Unsupervised Learning of Sampling Distributions


Oct 06, 2021
Fernando Gama, Nicolas Zilberstein, Richard G. Baraniuk, Santiago Segarra


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A Robust Alternative for Graph Convolutional Neural Networks via Graph Neighborhood Filters


Oct 02, 2021
Victor M. Tenorio, Samuel Rey, Fernando Gama, Santiago Segarra, Antonio G. Marques

* Presented in the 2021 Asilomar Conference on Signals, Systems, and Computers, Pacific Grove, CA, USA, 31 Oct. -- 3 Nov. 2021 

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Wide and Deep Graph Neural Network with Distributed Online Learning


Jul 19, 2021
Zhan Gao, Fernando Gama, Alejandro Ribeiro

* arXiv admin note: text overlap with arXiv:2006.06376 

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Scalable Perception-Action-Communication Loops with Convolutional and Graph Neural Networks


Jun 24, 2021
Ting-Kuei Hu, Fernando Gama, Tianlong Chen, Wenqing Zheng, Zhangyang Wang, Alejandro Ribeiro, Brian M. Sadler


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Node-Variant Graph Filters in Graph Neural Networks


May 31, 2021
Fernando Gama, Brendon G. Anderson, Somayeh Sojoudi


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