Skip to content
Universidad del Mar SIBUMAR Descubridor Institucional UMAR
  • Inicio
  • Búsqueda avanzada
  • Explorar
  • Login
    • English
    • Deutsch
    • Español
    • Français
    • Italiano
Advanced
  • Graph Neural Network Explanations are Fragile
Cover Image

Graph Neural Network Explanations are Fragile

Fuente: arXiv
Saved in:
Bibliographic Details
Main Authors: Li, Jiate, Pang, Meng, Dong, Yun, Jia, Jinyuan, Wang, Binghui
Format: Preprint
Published: 2024
Subjects:
Cryptography and Security
Machine Learning
Online Access:
Acceder al recurso
Tags: Add Tag
No Tags, Be the first to tag this record!
  • Cite this
  • Text this
  • Email this
  • Print
  • Export Record
    • Export to RefWorks
    • Export to EndNoteWeb
    • Export to EndNote
  • Save to List
  • Permanent link
  • Holdings
  • Description
  • Comments
  • Similar Items
  • Staff View

Internet

https://arxiv.org/abs/2406.03193

Similar Items

  • Deterministic Certification of Graph Neural Networks against Graph Poisoning Attacks with Arbitrary Perturbations
    by: Li, Jiate, et al.
    Published: (2025)
  • Provably Robust Explainable Graph Neural Networks against Graph Perturbation Attacks
    by: Li, Jiate, et al.
    Published: (2025)
  • Practicable Black-box Evasion Attacks on Link Prediction in Dynamic Graphs -- A Graph Sequential Embedding Method
    by: Li, Jiate, et al.
    Published: (2024)
  • AGNNCert: Defending Graph Neural Networks against Arbitrary Perturbations with Deterministic Certification
    by: Li, Jiate, et al.
    Published: (2025)
  • PoisonedRAG: Knowledge Corruption Attacks to Retrieval-Augmented Generation of Large Language Models
    by: Zou, Wei, et al.
    Published: (2024)
Universidad del Mar
Universidad del MarSistema Bibliotecario de la Universidad del MarDescubridor Institucional UMARImplementación y desarrollo: Mtro. Carlos Alonso Albores Pérez
InicioBúsqueda avanzadaExplorar
Visitas al Descubridor: 33,245© 2026 Universidad del Mar