DeepGraphONet: A Deep Graph Operator Network to Learn and Zero-Shot Transfer the Dynamic Response of Networked Systems-Reference-Cited by-同舟云学术

DeepGraphONet: A Deep Graph Operator Network to Learn and Zero-Shot Transfer the Dynamic Response of Networked Systems

Published:2023-09 Issue:3 Volume:17 Page:4360-4370
ISSN:1932-8184
Container-title:IEEE Systems Journal
language:
Short-container-title:IEEE Systems Journal

Author:

Sun Yixuan¹^ORCID,Moya Christian²^ORCID,Lin Guang¹^ORCID,Yue Meng³^ORCID

Affiliation:

1. School of Mechanical Engineering, Purdue University, West Lafayette, IN, USA

2. Department of Mathematics, Purdue University, West Lafayette, IN, USA

3. Interdisciplinary Science Department, Brookhaven National Laboratory, Upton, NY, USA

Funder

Advanced Grid Modeling Program, Office of Electricity Delivery and Energy Reliability of the U.S. Department of Energy

National Science Foundation

Brookhaven National Laboratory Subcontract

Office of Science Advanced Scientific Computing Research Program

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Control and Systems Engineering,Computer Networks and Communications,Computer Science Applications,Information Systems

Link

https://ieeexplore.ieee.org/ielam/4267003/10235272/10210333-aam.pdf

Reference43 articles.

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4. Gated graph sequence neural networks;li;Proc 4th Int Conf Learn Representations,0

5. Robust data-driven discovery of governing physical laws with error bars

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