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Title: How Robust Are Graph Neural Networks to Structural Noise?.

Abstract

Abstract not provided.

Authors:
;
Publication Date:
Research Org.:
Sandia National Lab. (SNL-NM), Albuquerque, NM (United States)
Sponsoring Org.:
USDOE Office of Science (SC), Advanced Scientific Computing Research (ASCR) (SC-21)
OSTI Identifier:
1592845
Report Number(s):
SAND2020-0092R
681942
DOE Contract Number:  
AC04-94AL85000
Resource Type:
Technical Report
Country of Publication:
United States
Language:
English

Citation Formats

Fox, James Siyang, and Rajamanickam, Sivasankaran. How Robust Are Graph Neural Networks to Structural Noise?.. United States: N. p., 2020. Web. doi:10.2172/1592845.
Fox, James Siyang, & Rajamanickam, Sivasankaran. How Robust Are Graph Neural Networks to Structural Noise?.. United States. doi:10.2172/1592845.
Fox, James Siyang, and Rajamanickam, Sivasankaran. Wed . "How Robust Are Graph Neural Networks to Structural Noise?.". United States. doi:10.2172/1592845. https://www.osti.gov/servlets/purl/1592845.
@article{osti_1592845,
title = {How Robust Are Graph Neural Networks to Structural Noise?.},
author = {Fox, James Siyang and Rajamanickam, Sivasankaran},
abstractNote = {Abstract not provided.},
doi = {10.2172/1592845},
journal = {},
number = ,
volume = ,
place = {United States},
year = {2020},
month = {1}
}