skip to main content
US FlagAn official website of the United States government
dot gov icon
Official websites use .gov
A .gov website belongs to an official government organization in the United States.
https lock icon
Secure .gov websites use HTTPS
A lock ( lock ) or https:// means you've safely connected to the .gov website. Share sensitive information only on official, secure websites.

Explore Research Products in the PAR
It may take a few hours for recently added research products to appear in PAR search results.


This content will become publicly available on April 1, 2026

Title: Provably Robust Explainable Graph Neural Networks against Graph Perturbation Attacks
Award ID(s):
2331302 2216926
PAR ID:
10655043
Author(s) / Creator(s):
; ; ; ;
Publisher / Repository:
Openreview
Date Published:
Format(s):
Medium: X
Sponsoring Org:
National Science Foundation
More Like this
  1. ; ; (, IEEE Transactions on Neural Networks and Learning Systems)
  2. ; ; ; (, The 29th ACM International Conference on Information & Knowledge Management)
    null (Ed.)
  3. ; ; ; ; ; (, International journal of data science and analytics)
  4. ; (, IEEE Transactions on Signal and Information Processing over Networks)
  5. (, SIAM Journal on Discrete Mathematics)
  • Citation Formats
  • MLA
  • APA
  • Chicago
  • BibTeX
  • Save / Share this Record
  • Send to Email