Wide and Deep Graph Neural Network With Distributed Online Learning-Reference-Cited by-同舟云学术

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Wide and Deep Graph Neural Network With Distributed Online Learning

Published:2022 Issue: Volume:70 Page:3862-3877
ISSN:1053-587X
Container-title:IEEE Transactions on Signal Processing
language:
Short-container-title:IEEE Trans. Signal Process.

Author:

Gao Zhan¹^ORCID,Gama Fernando²^ORCID,Ribeiro Alejandro³^ORCID

Affiliation:

1. Department of Computer Science Technology, University of Cambridge, Cambridge, U.K.

2. Department of Electrical Engineering and Computer Sciences, University of California, Berkeley, CA, USA

3. Department of Electrical and Systems Engineering, University of Pennsylvania, Philadelphia, PA, USA

Funder

NSF CCF

ARO

ARL DCIST CRA

ISTC-WAS

Intel DevCloud

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Signal Processing

Link

https://ieeexplore.ieee.org/ielam/78/9675017/9834135-aam.pdf

Reference45 articles.

1. ADAM: A method for stochastic optimization;kingma;Proc 3rd Int Conf Learn Representations,0

2. Distributed Subgradient Methods for Multi-Agent Optimization

3. Optimal Wireless Resource Allocation With Random Edge Graph Neural Networks

4. Rethinking sketching as sampling: A graph signal processing approach

5. Ergodicity in Stationary Graph Processes: A Weak Law of Large Numbers

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